CARL SALVAGGIO, Ph.D.
In the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology, I hold the position of Full Professor. I teach and conduct research in image processing, computer vision, remote sensing, and scientific computing. My research interests address the development of solutions to applied, real-world, problems utilizing the appropriate imaging modalities and algorithmic approaches. My expertise are in thermal infrared imaging, phenomenology, exploitation, and simulation; design and implementation of novel imaging and ground-based measurement systems; three-dimensional geometry extraction from multi-view imagery; material optical properties measurement and modeling; radiometric and geometric calibration of imaging systems; still and motion image processing and machine/deep learning for various applications.
I am serving as the Director of the Digital Imaging and Remote Sensing Laboratory. I also hold the position of Principal Investigator for the Signature Interdisciplinary Research Areas/Center for Unmanned Aircraft Systems Research at the Rochester Institute of Technology. My primary role in this organization is the development of novel radiometric and geometric calibration approaches for small unmanned aerial systems, as well as the facilitation of an interdisciplinary team of researchers both in the development of sensing technologies as well as the use of these systems to find solutions to problems in precision agriculture, infrastructure and facility inspection, as well as novel uses of computer vision for guidance and discovery.
|CURRENT ACTIVE FUNDING:||$0 (0 projects)|
|CUMULATIVE FUNDING TO DATE:||$9,319,016 (39 projects)|
Trilobyte Autonomous Learning for Full-Spectrum Simulations
RIT will generate valuable multimodal sUAS-based image data of a single scene. RIT will generate a corresponding DIRSIG scene and accompanying synthetic image data for training using deep learning techniques used in prior research to automatically build and label a synthetic scene.
|RIT Project Number:||37218|
|Period of Performance:||September 1, 2020 to December 31, 2022|
Mechanical Draft Cooling Tower Water Vapor Plume Volume Estimation
RIT will develop, evaluate, and deploy an imaging system (ground-based and/or small unmanned aircraft-based) along with a computer vision/image processing-based analysis system to determine the volume of a water vapor plume. This project will carry out a long-term collection campaign where data will be gathered under seasonal variations and used to guide the development of processing algorithms and testing the efficacy of the system to predict plant operating characteristics.
|RIT Project Number:||32529|
|Period of Performance:||February 21, 2020 to February 20, 2023|
Deep Learning Data Integrity
RIT has three goals in this project; to 1) generate valuable multimodal sUAS-based image data of a single scene, 2) generate a corresponding DIRSIG scene and accompanying synthetic image data for training, and to 3) test, evaluate, and understand the following deep learning activities; a) generative adversarial networks to simulated real scenes from DIRSIG simulations, and b) semantic segmentation using synthetically-augmented training data.
|RIT Project Number:||37149|
|Period of Performance:||June 10, 2019 to June 30, 2020|
Infrastructure and Agricultural Monitoring Using UAS Imaging
RIT will study and construct an end-to-end data processing pipeline that considers data capture thru information product generation. Harris Corporation has multiple system components such as OneButton, ENVI, Jagwire, etc. that will be studied for inclusion in the processing system pipeline. The project will also target specific applications focused on using UAS for infrastructure and agricultural monitoring as a means of evaluating the efficacy of UAS while jointly assessing the business potential and opportunities for Harris Corporation.
|RIT Project Number:||37038|
|Period of Performance:||May 15, 2017 to May 14, 2020|
Small Unmanned Aerial Systems (sUAS) Gas Infrastructure Inspection Research
RIT will conduct a series of investigations that are foundational to the development of automated processes for inspecting gas transmission infrastructure using small Unmanned Aerial Systems (sUAS)-based imaging and image processing techniques.
|RIT Project Number:||37003|
|Period of Performance:||April 15, 2017 to March 28, 2018|
Transforming White Mold Management in Snap Beans Through Remote Sensing
RIT will support Cornell University in their study of remote sensing applied to the monitoring of disease in snap beans. Snap beans are the fifth largest vegetable crop nationally in terms of acreage. Last year, there were 158,920 acres harvested for processing and 71,170 acres harvested for fresh market, with a combined value of $416 million. New York ranks second in both processing (20,420 acres planted) and fresh market (10,200 acres planted) production. White mold caused by the fungus, Sclerotinia sclerotiorum is amongst the most devastating and recalcitrant plant diseases worldwide, and results in substantial annual losses to snap bean production across the United States. This project offers a unique multi-disciplinary approach to reducing crop loss from white mold in snap beans by improved detection of spectral signatures associated with phenological development to optimize the efficacy of tools currently available to growers. The outcomes will be immediately available for adoption by growers through enhanced utilization of existing technologies. The involvement of stakeholders and extension personnel in the inception and incubation of this project and continuing support by service in an advisory group role will ensure that robust digital tools and delivery platforms are identified and successfully integrated into future farming practices. This project will enhance the capacity of farmers to effectively capture the rapid advances recently made in the imaging sciences and precision agriculture for economic growth.
|RIT Project Number:||31788|
|Period of Performance:||March 15, 2017 to March 14, 2019|
Video Analysis and Summarization Research
A cost-share project to 36963 under which RIT will obtain a high-performance computational machine capable of performing the training necessary for the deep learning aspects of the video segmentation process.
|RIT Project Number:||33692|
|Period of Performance:||July 1, 2016 to June 30, 2017|
Drone-Beased Roof Inspection Research
RIT will conduct a series of investigations that are foundational to the development of automated processes for determining roof health and for mapping defects using imaging and image processing techniques. Roofs can be relatively complex geometric structures constructed with a variety of materials. To make this a more tractable problem, the proposed research investigations will focus on residential buildings with gable roofs and asphalt shingles. Specifically the research will focus on understanding the phenomenology of various roof defects, identifying possible imaging techniques to detect those defects, and developing processing approaches to extract the desired information.
|RIT Project Number:||36983|
|Period of Performance:||June 1, 2016 to December 31, 2017|
Signature Interdisciplinary Research Areas - Center for Unmanned Aircraft Systems Research
The Center is built off of existing unique infrastructure and capabilities in the unique and very strong Imaging Science program in the College of Science and the Aeronautical Engineering program in the College of Engineering to create a Research Center in UAS-based imaging and operations that is second to none. Other RIT entities such as Public Policy in the College of Liberal Arts and Mechanical Engineering Technology in the College of Applied Science and Technology provide a well rounded view of this emerging technology area. The Unmanned Aircraft System (UAS) research center is focused on 1) the capture and processing of multi-modal image data from UAS for various applications, 2) collision avoidance and anti-drone technology for safer UAS operations, and 3) public policy with emphasis on privacy and economic impact.
|RIT Project Number:||62434.15920|
|Period of Performance:||February 1, 2016 to January 31, 2021|
Video Analysis and Summarization Research
RIT will advance the state-of-the-art in the areas of video content understanding and summarization through this effort. The goal of this research is to propose and validate a unified video analytics framework for automatically processing, analyzing, segmenting, and summarizing "unstructured" and "unrestricted" consumer videos published to the internet (YouTube, Facebook, etc). This research will also investigate and prototype new video and multimedia applications using the proposed framework and related algorithms developed.
|RIT Project Number:||36963|
|Period of Performance:||November 1, 2015 to October 31, 2017|
A three-dimensional visualization environment for archival and synthetic imagery to aid in analysis and tasking
This fellowship will focus on the inclusion on three-dimensional models extracted from LiDAR or dervived from multiple-view imagery into a geographically-based visualization system for utilization by analysts in planning and exploitation scenarios. Existing geographically-tagged image products will be registered to the base imagery in these visualization systems so that they are available as applied texture to the created geometry using multimodal registration of disparate data sets (visible, NIR, SWIR, emissive infrared, maps, and charts) using techniques such as maximum mutual information (MMI). The geometries will be attributed with optical, thermodynamic, and RADAR properties so that the key parameters are in place to generate synthetic imagery under any temporal, meteorological, and geometric conditions collected with any of the currently available imaging modalities available in the Digital Imaging and Remote Sensing Image Generation (DIRSIG) simulation environment. The intent of this research is to create an integrated environment from which the currently "browsed" geometry may be either visualized using existing imagery or synthetically-derived imagery under analyst specified conditions.
|RIT Project Number:||31478|
|Period of Performance:||August 13, 2014 to August 12, 2017|
NSF REU: Imaging in the Physical Sciences
The NSF REU Program Imaging in the Physical Science (IPS) is a new proposed by the Chester F. Carlson Center for Imaging Science (CIS) at Rochester Institute of Technology (RIT). CIS is a highly interdisciplinary University Research and Education Center, dedicated to pushing the frontiers of imaging in all of its forms and users. THE IPS REU program will introduce young scientists to research in a highly interdisciplinary environment, where cross-disciplinary team problem solving is the norm. The IPS REU has the following seven specific goals: i) Involve undergraduates from very diverse majors (starting as early as summer after their freshmen or sophomore years in college) in a 10-week long coherent research experience in an interdisciplinary environment, while enabling them to produce scientific results of international caliber, ii) Involve undergraduates in problem-based research, encouraging them to think across boundaries and between fields. Encouraging students to understand how innovation and creativity can be strong tools for scientific research; iii) Specifically reach out the Deaf or Hard of Hearing students to develop an understanding of how to provide the community an engaging and welcoming arena in which to engage in STEM research opportunities; iv) Understand how to interact with Native Americans who may be key candidates to engage in STEM careers in a variety of settings, and learn how to engage them in research experiences, and continue that interest fields. We will also assess the implementation and impact of our REU Program.
|RIT Project Number:||31421|
|Period of Performance:||February 15, 2014 to January 31, 2017|
RIT Immersive Living Room
This effort aims at creating an "immersive living room" environment. Utilizing a television, projector, webcam, and Microsoft Kinect, the system will augment a traditional television-based living room media environment. The aim is to produce a platform that can be used to generate a variety of different augmentation experiences, including video games, motion picture augmentation, and retexturing of the living room environment.
|RIT Project Number:||15859|
|Period of Performance:||November 1, 2013 to June 30, 2014|
Signatures Modeling, Derivation, and Exploitation
This effort is intended to enhance the public's capability to derive spectral signatures from field measurements that can be used to develop new and enhance existing signature exploitation algorithms and foster recommendations for future imaging system designs to improve performance in experimental and operational situations.
|RIT Project Number:||31370|
|Period of Performance:||July 18, 2013 to December 31, 2014|
START-X ISP Signatures and SWIR Measurement Support
RIT will provide technical support to CACI for joint activities with the DIA Signature Support Program (SSP) and the Joint Improvised Explosive Device Defeat Organization (JIEDDO) Integrated Signatures Program (ISP). Consultation and advisory support will be provided to CACI for data collection, training, and analytical services in support of the DIA SSP and JIEDDO in two main task areas; research and development support of new data base signature entries and measurements.
|RIT Project Number:||31322|
|Period of Performance:||February 1, 2013 to September 30, 2013|
ALTA Systems Imaging Module
PHASE 3 - RIT will design and produce an analog-to-digital conversion (ADC) external-sensor recording module for the existing ALTA imaging platform. This module will consist of a custom-design printed circuit board (PCB) having the same form factor as the other components of the electronics stack in the imaging module so that it can be seamlessly incorporated into the existing architecture. This board will replace the current, heavily-modified, 'Zippy' board used for I/O with current imaging module devices and allow for greatly reduced assembly time and skill set that are required for future imaging module assembly. The board will replicate current capabilities; 3 pulse-width modulated servo motor controllers, camera multiplexer interface, asynchronous serial communications for GPS, I2C interface for the inertial measurement unit, and a SD card slot for on-board data storage. New to this board will be 8 analog input channels capable of recording the voltage produced by external sensors (e.g. temperature, humidity, barometric pressure, carbon dioxide levels, etc.). These sensor voltage readings will be able to be time-coincidently recorded with geographic positioning system (GPS) information already on the ALTA and stored to local memory on the balloon. These data will also be incorporated into the message regularly transmitted wirelessly to the ground-based server for later use or for immediate access from an iOS-based client. PHASE 4 - RIT will design and assemble the next generation ALTA imaging module (code named R1) that will attach to the upcoming rotational mount on the balloon platform. As part of this effort, RIT will explore the latest IMU and GPS modules available to assure the best performance and availability into the future. PHASE 5 - RIT will design and produce an analog-to-digital conversion (ADC) external-sensor recording module for the existing ALTA imaging platform. This module will consist of a custom-design printed circuit board (PCB) having the same form factor as the other components of the electronics stack in the imaging module so that it can be seamlessly incorporated into the existing architecture. PHASE 6 - RIT will perform server updates to support the R-series production testing, support the integration of collected imagery services, and participate in the design and prototyping of the S-series board and power supply, and investigate camera updates/alternatives, and provide ongoing support to the production teams. RIT will also participate in the design of the Parrot-series networking/downlink concept. Perform pre-prototype testing and develop design alternatives. PHASE 7 - RIT will provide consultation/oversight of the mechanical development of the gimbal (G) series prototype for a balloon mounted imaging system. RIT will design, integrate, prototype, and develop a production design for the next generation ALTA imaging platform based on commercially-available processors, cameras, guidance, and communications hardware with a custom daughterboard to integrate the components and provide external hardware control and interface to air quality sensors. The intent of this item is to enable the production of 1000 units in a timely fashion by ALTA/FIU personnel. Finally, RIT will develop a prototype "smart reel" that will communicate is position to the balloon-borne platform for inclusion in the downlinked metadata stream. PHASE 8 - RIT will be developing the electronic control systems for the LightForce Technologies "smart reel" to control the ALTA imaging systems altitude during collection as well as provide a real-time video downlink for both visible and thermal infrared video cameras on board the platform. In addition, investigation into the feasibility of incorporating a multispectral camera (commercial or custom developed) and initial prototyping will be carried out for inclusion in the ALTA G-series imaging platform for costal water quality studies.
|RIT Project Number:||36823|
|Period of Performance:||January 18, 2013 to December 31, 2014|
Design and Development of an Open Source High-Speed Flash Trigger
High-speed photography has long been an area of intense specialization, requiring thousands of dollars of investment before any images can be created. With modern computing technology, the creation of high-speed imaging systems is fairly straight-foward. Even though current technology enables the creation of these system with fewer obstacles than in the past, most current market options are prohibitively expensive. As a result, the development of an affordable Arduino-based high-speed imaging system fills a void in the high-speed imaging community. This project is directed at the development of an open-source platform enabling RIT to continue to build its reputation in the high-speed imaging community while simultaneously strengthening inter-departmental support and providing access to a useful tool for the instruction of high-speed photography on campus.
|RIT Project Number:||15819|
|Period of Performance:||December 1, 2012 to July 1, 2013|
ALTA Lantern Imaging Module - PHASE 2
RIT will construct, test, and deliver two prototype imaging modules with identical components to that initially constructed for ALTA Systems. These modules consist of a BeagleBoard ARM-based processor, two camera boards, GPS, magnetometer, attitude sensor, battery pack, on-board storage, and a cellular modem for wireless communication. In addition, these modules will contain a custom-designed servo motor control board for commanding the flight components of the system. All components are enclosed in a water-resistant plastic polymer enclosure.
|RIT Project Number:||36814|
|Period of Performance:||November 1, 2012 to January 31, 2013|
ALTA Lantern Imaging Module
Alta Pix Incorporated (ALTA) is producing a lighter-than-air platform to be used in the collection of low-altitude aerial photography by individual "Alta Drifters" around the world. These "drifters" are expected to be individual hobbyists, corporations, and military personnel. Platform altitudes are expected to be between 50 and 200 feet above ground level (AGL) enabling extremely high-resolution imagery to be collected with low-cost equipment. The low cost and ease of use will enable membership and participation as a "drifter" by anyone wishing to become part of this community of imagery providers over areas of interest worldwide.
The scope of the RIT research is to develop a one-to-multiple camera module, capable of collecting and storing full resolution imagery on-board, while delivering low-resolution "scout" mode imagery to a web-accessible server in near real-time utilizing existing 3G cellular data networks available in most major population centers. The system will collect geolocation information and heading using GPS and imaging module attitude using on-board gyroscopes/accelerometers for each image collected.
|RIT Project Number:||36742|
|Period of Performance:||August 1, 2011 to August 31, 2012|
3D Geometry Models from WAAS Data
The intent of this work is to extend current automated 3D point cloud extraction techniques on large format Wide Area Airborne System (WAAS) data sets. ITT will provide RIT with example visible and IR WAAS data of downtown Rochester, NY. ITT will also provide support in the understanding and processing of the WAAS data such as position/orientation data and image file formats. Under this contract, RIT will provide ITT software and resulting process workflows for the automatic creation of 3D point clouds. In addition, fusion of the 3D point cloud data with the high temporal WAAS data, both visible (panchromatic) and infrared will be accomplished with the intent of creating a value added product to the data for ITT.
|RIT Project Number:||C1176|
|Period of Performance:||August 1, 2011 to July 31, 2014|
A Feature-based Classifier for Dragonflies and Damselflies
Unique patterns present in the wings of dragonflies and damselflies can be used to determine their family, genus, and species. A method for classifying dragonflies and damselflies using a particular pattern known as the triangle was developed using scanned images of the wings. Digital image processing techniques, such as image segmentation and feature detection, are used to determine properties of the triangle useful for classification. These properties are then compared against a triangle property database of known dragonflies and damselflies. A prototype implementing this method has been shown to demonstrate a high degree of accuracy.
|RIT Project Number:||15705|
|Period of Performance:||May 1, 2011 to May 31, 2012|
NSF REU: Imaging in the Physical Sciences
The National Science Foundation (NSF) Research Experiences for Undergraduates (REU) program, Imaging in the Physical Sciences (IPS), will introduce young scientists to research in a highly interdisciplinary environment, where cross-disciplinary team problem solving is the norm. The IPS REU has the following seven specific goals: (i) involve undergraduates from a wide range of host institution type, gender, and ethnicities in a coherent and extendable (multi-year) research experience, starting after their freshman or sophomore years; (ii) involve undergraduates originating from a specific science or engineering major in a highly interdisciplinary research environment, engaging them to work in teams across traditional disciplinary boundaries in problem-based research; (iii) expose students to the emerging field of imaging science and its many and varied application areas; (iv) encourage students to pursue graduate studies in STEM; (v) assist students in the dissemination of their research; (vi) create an ongoing research incubator environment for the students, including feedback from advisory scientist external to RIT, mentoring in public speaking, scientific writing, and social engagement; (vii) assess the implementation and impact of our REU program.
|RIT Project Number:||31120|
|Period of Performance:||April 1, 2011 to October 1, 2014|
The Detection of Anamalous Vehicle Loading Using Remote Sensing Techniques
In a scenario where nuclear fuel rods are being transported in a shielded transport truck concealed as a commercial vehicle, there may be several remotely detectable signatures. Assuming that payload and shielding material would result in an anomalous increase in the overall vehicle weight, increased frictional forces on the vehicle braking mechanism will result. These increased forces would elevate temperature differences relative to other vehicle components which would be greater than those for vehicles with a standard load. In addition, an overloaded vehicle will exhibit a decreased rate of acceleration and increased diesel exhaust when starting from a stopped position and increased acoustics from engine braking while decelerating at an upcoming traffic control signal. These observables could be indirect indicators of clandestine trafficking of nuclear material.
As a detection mechanism, thermal infrared remote sensing techniques may be used from a stationary position near a traffic-controlled intersection. With knowledge of meteorological conditions at the surveilled site, relative temperature differences between the braking hub, the tire sidewall, and other portions of the vehicle can be used as indicators that the vehicle is under unusual stress due to load. A second observable is the rate of acceleration of a previously flagged suspicious vehicle. This might confirm that the vehicle is indeed carrying a heavier than normal load when compared to historical traffic at that same intersection. Diesel exhaust plume density/size may provide a third observable that may be detected with a traditional visible imaging system or the previously described thermal infrared system. Third, an acoustical sensor and traditional frequency-domain processing techniques may be able to identify vehicles exhibiting anomalous engine braking patterns due to the increased vehicle load.
|RIT Project Number:||31057|
|Period of Performance:||September 28, 2010 to May 30, 2013|
Enhanced Image Rendering Engine for DIRSIG
RIT will provide directed development support and interface definition to allow the DIRSIG environment to serve as an image-rendering engine for the three-dimensional physics-based modeling being carried out by the DOE. As DIRSIG is already a first-principles physics-based environment for optical interactions at the target surface, propagation through the atmosphere, interactions with the mechanics of the sensing platform, and sensor response and artifact modeling for most available types of imaging systems in use today, the further opening of this environment to allow input from the DOE modeling community with respect to phenomenological scenarios involving nuclear nonproliferation would allow a full, end-to-end system for which the imaging product produced can serve as data for a variety of purposes such as algorithm development and testing, system design trade-off studies, and scenario-driven modality selection. Given current DIRSIG capabilities to model passive systems such as spectral and hyperspectral devices, thermal infrared sensors as well as active systems such as LIDAR and RADAR, and the physical process modeling available from current DOE researchers, this integration would enable very comprehensive system trade studies and future sensor system simulations directed at the complex nonproliferation problem. As part of this effort, RIT will:
|RIT Project Number:||30958|
|Period of Performance:||September 19, 2008 to September 18, 2013|
Accurate Radiometric Temperature Measurements Using Thermal Infrared Imagery of Small Targets, Physics-Based Modeling, and Companion High-Resolution Optical Image Data Sets
A physics-based target space approach to small target temperature determination is being developed that will allow targets that are the same size as a thermal infrared sensor ground sampling distance to be interrogated for subsequent analysis.
Current approaches to this problem employ traditional frequency domain restoration techniques that are based upon an estimate of the point spread function of the sensing system. This approach, however, is subject to error for a number of reasons. The point spread function of the entire collection system includes spatial blurring due to atmospheric scattering and sensor motion. These parameters are typically not included in the solution and as such the process produce errant answers. Additionally, these traditional techniques work for targets that occupy several pixels in a scene, not for single or subpixel sized targets.
The proposed approach will use the DIRSIG synthetic image modeling code to produce hundreds or thousands of possible candidate images of the target/background under examination. Different positioning of the target relative to the sensor sampling array will be generated as well as varying background and target temperature combination. This create synthetic target space will be developed so as to include the actual scenario encountered. Image matching techniques will be used to compare the actual thermal image to each synthetic image in the target space to find the best match and therefore the most likely set of physical parameters.
A complete validation and verification of the developed technique will be carried out using modeled data, data collected from a fixed imaging platform with full control over all target space parameters, and in a real-world airborne image collection experiment. Data will be collected so that an assessment of accuracy of this proposed technique may be assessed.
|RIT Project Number:||30830|
|Period of Performance:||September 19, 2008 to September 18, 2013|
Image-Based Determination of Polarized Bidirectional Reflectance Distribution Function For In-Field Characterization of Materials
This fellowship will focus on the development of novel experimental techniques and complementary modeling tools to accurately predict the polarized bi-directional reflectance distribution function (BRDF) of a variety of materials of interest to the remote sensing community. In addition, the research will develop a collection methodology for measuring polarized BRDF remotely for denied targets. The experimental techniques will take advantage of an image based approach to BRDF measurement with emphasis on deriving the polarized Mueller scattering matrix form of the BRDF.
|RIT Project Number:||30866|
|Period of Performance:||September 4, 2008 to April 20, 2012|
Ice Characterization Using Remote Sensing Techniques
RIT is collaborating with the Savannah River National Laboratory (SRNL) to extend the capabilities of the ALGE hydrodynamic code to include simulations of surface ice formation and melting in cooling lakes that receive heated effluent from nuclear reactors operating in cold climates and collect the data needed to validate this extended version of the ALGE code at suitable locations in the northern US or Canada. SRNL uses the ALGE code to perform technical analyses of heat-generating industrial facilities for DOE and other government agencies. At present, ALGE simulations of cooling lakes and other bodies of water being used to dissipate waste heat from nuclear reactors are restricted to ice-free conditions. This restriction prevents imagery analysis for more than one-half the year at some northern sites. The extension to the ALGE code proposed here will allow year-round applications of the code which will result in more rapid completion of technical analyses.
|RIT Project Number:||30789|
|Period of Performance:||January 22, 2008 to September 30, 2011|
Effects of Humidity On Atmospheric Transmission For Infrared Sensors
This fellowship will perform a comparative analysis of ship-based thermal infrared spectroradiometer measurements against MODTRAN simulations incorporating humidity dependent aerosol nucleation effects.
It is commonly assumed that scattering effects are negligible in the thermal infrared region. This, however, is based on standard atmospheric and aerosol models that have particle size distributions that are heavily weighted and have maximum concentrations in the sub-micron range. While particle concentrations in the super-micron range are orders of magnitude smaller than its submicron counterparts, certain conditions of high humidity may significantly increase their concentrations to levels that may impart scattering effects in the thermal infrared regions.
This hypothesis will be tested using the MODTRAN radiative transfer model (Berk 1989) coupled with the NOVAM - Navy Oceanic Vertical Aerosol Model (Gatham 1993). Given the nature of the data set from Explorer of the Seas ARM facility, this is a logical approach since oceanic aerosols will be inherent to the environment of the surface based measurements. The NOVAM model will be used to obtain first order estimates of potential aerosol effects and indicate possible aerosol nucleation mechanisms describing the concentrations of larger hygroscopic aerosols and their particle size distributions (Leeuw 1992). Currently, the NOVAM model supports three mode radii (peak of the particle size distribution) of 0.03, 0.24, and 2.0 microns. Modifications to the model to include larger mode radii will be investigated to support the thermal scattering hypothesis.
|RIT Project Number:||30632|
|Period of Performance:||August 17, 2006 to February 16, 2009|
Gaseous Effluent Detection System
RIT will perform a system integration of the DP Instruments MARLIN high-speed FTIR spectrometer with a FLIR Systems GasFindIR camera to create a bore-sighted or common-optic system capable of imaging effluent gas plumes and making spectral signature measurements at a central location in the field of view. RIT will further perform a proof-of-concept field study with this system against controlled gas releases. Once the data is collected, RIT will continue to analyze this data by producing an analysis software capability to perform gas identification and volume/rate-of-release estimations.
|RIT Project Number:||30603/30652|
|Period of Performance:||May 1, 2006 to November 30, 2006|
Exploitation Tool For Mechanical Draft Cooling Towers
RIT will provide support to gain insight into the phenomenology that influences the radiance field leaving the interior of a mechanical-draft cooling tower (MDCT). The DIRSIG modeling capability will be enhanced such that the models produced reflect, as accurately as possible, the actual data gathered with real airborne infrared imaging systems. These modeling efforts will focus on the phenomenology associated with "cavern-like" targets with numerous material types internally contained. This effort will be cyclical in nature with modeling approaches continually modified based on newly discovered phenomenology observed in real image data. The desired outcome of the modeling will be accurate internal-element emissivities and temperatures for the components that comprise the cooling tower for use with an external process model developed by Savannah River National Laboratory.
|RIT Project Number:||30571|
|Period of Performance:||February 2, 2006 to June 30, 2009|
ITIC Spectroradiometry Program Support
RIT will provide support to the government as a critical participant in the National Signatures Program (NSP) working group monthly meetings. The NSP is responsible for the establishment of spectral measurements standards for solid, liquid, and gaseous materials. Standards in the form of measurement methodologies, formats, metadata, etc. fall within the purview of this group. RIT has been asked to be the representative for the government organization that funds and oversees this program to provide guidance, experience, and critical review to/of this programs efforts and to report back to the supporting organization with impressions and advice.
|RIT Project Number:||30517/30654|
|Period of Performance:||February 1, 2005 to July 31, 2007|
Spectral Database Development
RIT will provide support through the Laboratory for Advanced Spectral Sensing for the development of an enhanced full spectrum material reflectance database to support more realistic simulations in the DIRSIG model. Current database holdings will be evaluated and test plan developed and executed to provide additional spectra to fill in voids in the current database.
|RIT Project Number:||30483|
|Period of Performance:||November 1, 2004 to May 31, 2006|
Calibration Test Target Development For Longwave Infrared Test Chambers
RIT will be providing modeling support in the development of calibration test targets for longwave infrared (IR) test chamber characterization. RIT will utilize its DIRSIG model to represent the interior environment of the IR test chamber located at the WPAFB facility and the potential calibration targets that will be used, performing trade-off and optimization studies as top the efficacy of the designs to choose the proper target to manufacture. RIT will also place certain targets of interest into a cluttered IR background to assist in the design of future chambers with enhanced background capability.
|RIT Project Number:||30463|
|Period of Performance:||June 15, 2004 to November 11, 2005|
Three-Band Temperature Extraction Algorithm
RIT will provide support for the development of new and/or evaluation of existing temperature extraction methodologies for infrared imagery. Techniques using a single band, multiple band, or multispectral/hyperspectral image data will be within the scope of this task. RIT will provide modeling support to produce synthetic imagery for evaluation of these algorithms using DIRSIG as requested. This support will may be in the form of assistance in the development of specific sensor models, specific imaging scenarios, and/or to provide a robust data set as a test-bed for new and existing algorithms. RIT will attend community meetings to report on the algorithm and modeling tasks as well as to provide critical review and/or insight into other proposed methodologies.
|RIT Project Number:||30459|
|Period of Performance:||May 1, 2004 to September 30, 2006|
Selective Degradation Algorithm For Air Photo Imagery Database Applications
RIT will be providing a software tool that will allow the NYS OCSCIC to selectively degrade their online statewide library of aerial photographs to protect critical infrastructure information. As part of the Homeland Security initiative afoot in New York State, the OCSCIC desires a tool that would let them selectively degrade the resolution of their archives of air photos that are available to the public so that potential organizations that would aspire to do harm to these facilities do not have high quality data available to them, while maintaining the quality of the data in other regions for legitimate users. RIT will develop this software tool to key off of OSCCIC supplied shape files and apply the degradation to the library of imagery.
|RIT Project Number:||33315|
|Period of Performance:||April 4, 2004 to September 4, 2004|
Dynamic Range Adjust Algorithm For Forward-Looking Infrared Imagers
RIT will be utilizing funds provided to the current capital campaign by BAE Systems to support a graduate student in Imaging Science. The student will work on a project of interest to both RIT and BAE Systems for their thesis research project. The student will spend a Summer quarter working at BAE Systems with their scientist and engineers to gain real-world experience during their academic work.
|RIT Project Number:||20157|
|Period of Performance:||December 1, 2003 to November 30, 2004|
Automated Tie-Point Selection From Oblique Air Photo Imagery
RIT is determining the feasibility of automated tie point identification on numerous oblique air photos collected with the Pictometry system. Once a feasible approach is identified, RIT will be developing prototype software to assist Pictometry in this now largely manual process. This research was funded in part by CEIS, a NYSTAR-designated Center for Advanced Technology.
|RIT Project Number:||36291/C3320/33320|
|Period of Performance:||September 5, 2003 to September 4, 2004|
Feasibility Study For Incorporating LIDAR Into DIRSIG
RIT performed two (2) tasks for LaSen, Incorporated in support of their aircraft-based LIDAR system. RIT investigated the feasibility of modeling a LaSen midwave infrared LIDAR system using DIRSIG with particular attention to spectral resolution, pulse generation, ground resolution, and atmospheric interaction. In addition, RIT made several high-spectral resolution reflectance measurements in the 3 to 5 micron region to aid in current exploitation task being carried out by the sponsor.
|RIT Project Number:||30903|
|Period of Performance:||May 1, 2003 to September 30, 2003|
NAIC Spectral Exploitation Center Spectral Library Support
RIT is supporting the NAIC Spectral Exploitation Center (NSEC) Spectral Library Support initiative by developing laboratory and field spectral library protocols to assure high quality spectral measurements are provide to the library expansion task. In addition, RIT personnel and students are measuring the spectral signatures of materials supplied by the library expansion team as well as those encountered during field exercises using laboratory and field spectrometers. Spectral reflectance measurements are being made from 0.35 through 20 microns for all materials.
|RIT Project Number:||30340|
|Period of Performance:||October 16, 2002 to September 20, 2004|
Guidance for undergraduate level research projects leading to Bachelor of Science degree in Imaging Science. I am currently serving on or have served as an advisor for the following students:
The Multidisciplinary Senior Design program prepares students for modern engineering practice through a multidisciplinary, team-based design experience in which the students apply the skills and knowledge acquired in earlier coursework to define, analyze, design and implement solutions to unstructured, open-ended, multidisciplinary engineering problems while adhering to customer requirements and recognized engineering standards. The projects are sponsored by wide range of industries and government organizations. I am currently serving on or have served as an advisor for the following students:
Guidance for graduate level research projects leading to an online Master of Science degree in Imaging Science. I am currently serving on or have served as an advisor for the following students:
Guidance for graduate level research projects leading to Master of Science or Doctor of Philosophy degrees in Imaging Science. I am currently serving on or have served as an advisor for the following students:
I had the pleasure of designing the minor in Imaging Science as well as getting it approved at the Institute level. Annually I handle the administration of this program by enrolling individual students in the minor with a concentration that best meets their interests and goals, tracking each of their progress in meeting these requirements, and finally in the certification of their minor when they have finished with their coursework.
Resulted in the successful recruiting of Dr. Guoyu Lu.
Facilitated the annual pre-tenure reviews for all non-tenured faculty within the Center for Imaging Science.
As the Undergraduate Program Coordinator for the Chester F. Carlson Center for Imaging Science, I have helped to coordinate and oversee numerous transitions in our curriculum to better align the flow of learning that occurs and to make sure that our students are ready to move on to the next challenges that they face in their coursework. Specific changes made include the evolution to our current third year curriculum that includes both a series of classes aimed and systems analysis/design in the Color Science, Modulation Transfer Function, and Noise and Random Processes classes along with a complementary year-long laboratory sequence entitled Imaging Science Laboratory that concentrates on pixels, spatial, and multidimensional aspects of the imaging chain. Understanding the need for a stronger mathematical preparation of our students for classes such as Physical Optics, Digital Image Processing, Modulation Transfer Function, and Noise and Random Processes, room was made in the schedule to add a follow-on class to our Linear Algebra & Fourier Mathematics for Imaging Science entitled Mathematical Methods for Imaging Science and a department-taught version of Probability and Statistics class with a strong focus on fundamental statistical concepts with relevant applications to imaging-related problems. The Senior Project class is once again a required part of all or our undergraduates' education which is one of the many things that distinguish them from other undergraduate students in related fields, demonstrating their ability to conduct an independent investigation. All of these modifications to the curriculum go back to a fundamental premise of strong mathematical preparation along with capable laboratory skills, including the development of strong written, oral, and technology-based presentation skills. Most recently, the reincorporation of our first year students as active participants in our Center was a primary goal. This has been accomplished by the design of a remarkable new program that is referred to as the First-Year Imaging Project that takes our entering students through a self-discovering experience where they are tasked with building an imaging system. The skills that they need along the way are obtained on their own with the assistance of, potentially, the entire faculty of the Center. This project is open to students across the campus and will hopefully serve as an introduction of what we do to not only our own students but those in other programs and colleges across the Institute.
In this role I have also served to help recruiting for the Center at most of the undergraduate admissions open houses, transfer students open houses, summer orientation programs, individualized tours for prospective students, general (undecided) program presentations for multiple colleges, and numerous high school recruiting events on behalf of the Center. I have also worked with Monroe Community College to expand our articulation agreement from the traditional feeder program in Optics, to include their programs in Engineering Science, Computational Science, as well as Liberal Arts-Science.
In 2006, I had the opportunity to work with the College of Imaging Arts and Science to develop a "co-dependent" program in Digital Cinema that required students to take half of their core coursework in the Center. This formed the groundwork for a potential great collaboration between the two colleges in producing a very capable "hybrid" student that develops both their scientific and artistic persona to create a new type of graduate available to the motion picture industry.
Along the line of the development of "hybrid" students, I made a big push at the Institute level to develop official double majors between Imaging Science and several programs including Computer Science, Physics, Biological Sciences, Applied Mathemeatics, Imaging and Photographic Technology, and Management Information Science. While these are not yet officially listed in the course catalogs due to our current transition to semesters, many of these double majors now have students actively pursuing these challenging combinations.
In 2010, during the Institute's planned transition from the quarter system to the semester system, I was responsible for assembling and putting forward the plan for the Center's undergraduate program. This included working with the administration to understand the design considerations that were being actively developed by the administrative committees charged with the task of deciding what an RIT semester-based education would look like and make sure that we, as the first program in the Institute to come up for approval, would meet these requirements.
Logistically, I have also been responsible for handling all aspects of student processing through the system including degree certifications, handling of senior project delivery requirements, administration of any academic disciplinary actions that have needed to occur, reporting to our administration and advisory board, and even the arrangement of our annual senior celebration prior to graduation.
Resulted in the successful recruiting of Dr. Jie Qiao.
Resulted in the successful recruiting of Dr. Gabriel Diaz.
Resulted in the successful recruiting of Dr. Jinwei Gu.
Resulted in the successful recruiting of Ricardo Figueroa.
Resulted in the successful recruiting of Paul Mezzanini.
Resulted in the successful recruiting of Brett Matzke.
Resulted in the successful recruiting of Dr. Gurcharan Khanna.
Resulted in the successful recruiting of Dr. Stefi Baum.
|The College of Science Student Advisory Board has recognized an outstanding faculty member each term this year with a new COS Faculty of the Quarter Award. Winners are nominated by students and selected by members of the COSSAB based on their dedication and enthusiasm shown to the student body. The award is unique within COS and is recognized by Student Government. Award winners are, from left to right, Carl Salvaggio, professor of imaging science and winner of the fall quarter, Robert Rothman, professor of biological sciences and winner of the spring quarter, and Matthew Coppenbarger, professor of mathematics and statistics and winner of the winter quarter. (RIT News and Events, May 2004)|