Carl Salvaggio Headshot

Carl Salvaggio

Professor
Chester F. Carlson Center for Imaging Science
College of Science
Director of the Digital Imaging and Remote Sensing Laboratory

585-475-6380
Office Location
Office Mailing Address
Chester F. Carlson Center for Imaging Science Building 76 Room 3136

Carl Salvaggio

Professor
Chester F. Carlson Center for Imaging Science
College of Science
Director of the Digital Imaging and Remote Sensing Laboratory

Bio

Dr. Salvaggio is a Full Professor and Director of the Digital Imaging and Remote Sensing Laboratory teaching and conducting research in, as the name might imply, image processing, computer vision, remote sensing, and programming. His research interests address the development of solutions to applied, real-world, problems utilizing the appropriate imaging modalities and algorithmic approaches. Dr. Salvaggio's expertise are in thermal infrared 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; and still and motion image processing for various applications.

Dr. Salvaggio currently hold the position of Principal Investigator for the Signature Interdisciplinary Research Areas/Center for Unmanned Aircraft Systems Research at the Rochester Institute of Technology. His 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.

585-475-6380

Areas of Expertise

Currently Teaching

IMGS-790
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-362
3 Credits
This course is considers the more advanced concepts of digital image processing. The topics include image reconstruction, noise sources and techniques for noise removal, information theory, image compression, video compression, wavelet transformations, frequency-domain based applications, morphological operations, and modern digital image watermarking and steganography algorithms. Emphasis is placed on applications and efficient algorithmic implementation using the student’s computer programming language of choice, technical presentation, and technical writing.
IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-599
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in any of their years of study.
IMGS-180
3 Credits
This hands-on course is an introduction to computer programming, simple electronics, and the control of electronic devices using commercially available, single-board computers (e.g. Raspberry Pi). Emphasis will be placed on utilizing the analog and digital input/output ports available on these single-board computers to control and acquire data from electronic devices like optical detectors, LED sources, and servo-motors. The use of open-source software libraries to assist in the control and real-time acquisition of image data from peripheral imaging devices and cameras will be covered in detail. The student will be introduced to object-oriented programming using Python. Fundamentals of flow control, object types and creation, input/output, and problem-solving approaches such as the use of randomness, divide-and-conquer, Monte Carlo, and search will be examined in detail and applied to scientific, mathematical, and imaging-specific related problems.
IMGS-740
3 Credits
The analysis and solution of imaging science systems problems for students enrolled in the MS Project capstone paper option.
IMGS-891
0 Credits
Continuation of Thesis
IMGS-699
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-361
3 Credits
This course is an introduction to the basic concepts of digital image processing. The student will be exposed to image capture and image formation methodologies, sampling and quantization concepts, statistical descriptors and enhancement techniques based upon the image histogram, point processing, neighborhood processing, and global processing techniques based upon kernel operations and discrete convolution as well as the frequency domain equivalents, treatment of noise, geometrical operations for scale and rotation, and grey-level resampling techniques. Emphasis is placed on applications and efficient algorithmic implementation using the student's programming language of choice.
IMGS-799
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in their graduate studies.

Featured Work

Select Scholarship

Journal Paper
Mamaghani, Baabak and Carl Salvaggio. "Multispectral Sensor Calibration and Characterization for sUAS Remote Sensing." Sensors 19. 20 (2019): 4453-4482. Web.
Kaputa, Daniel, et al. "MX-1: A New Multi-Modal Remote Sensing UAS Payload with High Accuracy GPS and IMU." IEEE Xplore 2019 IEEE Systems and Technologies for Remote Sensing Applications Through Unmanned Aerial Systems (STRATUS). (2019): 1-4. Web.
McKay, Troy, et al. "Remotely Detected Vehicle Mass From Engine Torque-induced Frame Twisting." Optical Engineering 56. 6 (2017): 063101-1-063101-8. Web.
Mamaghani, Baabak and Carl Salvaggio. "Comparative Study of Panel and Panelless-Based Reflectance Conversion Techniques for Agricultural Remote Sensing." American Journal of Agricultural Science 6. 4 (2019): 40-58. Web.
Mamaghani, Baabak, M. Grady Saunders, and Carl Salvaggio. "Inherent Reflectance Variability of Vegetation." Agriculture 9. 11 (2019): 246-270. Web.
Kemker, Ronald, Carl Salvaggio, and Christopher Kanan. "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery Using Deep Learning." ISPRS Journal of Photogrammetry and Remote Sensing 145. November (2018): 60-77. Print.
Yousefhussien, Mohammed, et al. "A Multi-scale Fully Convolutional Network for Semantic Labeling of 3D Point Clouds." ISPRS Journal of Photogrammetry and Remote Sensing 143. September (2018): 191-204. Print.
Hezaveh, Mahshad Mahdavi, Christopher Kanan, and Carl Salvaggio. "Roof Damage Assessment Using Deep Learning." IEEE Xplore Proceedings of the 46th Annual Applied Imagery Pattern Recognition Workshop. (2017): 1-8. Web.
Carson, Tyler and Carl Salvaggio. "Soil Signature Simulation in the Thermal Infrared." Optical Engineering 54. 10 (2015): 104102-1-104102-6. Web.
Carson, Tyler, Charles Bachmann, and Carl Salvaggio. "Soil Signature SImulation of Complex Mixtures and Particle Size Distributions." Optical Engineering 54. 9 (2015): 094103-1-094103-10. Web.
Nilosek, David, Derek Walvoord, and Carl Salvaggio. "Assessing Geoaccuracy of Structure From Motion Point Clouds from Long-range Image Collections." Optical Engineering 53. 11 (2014): 113112-1-113112-10. Web.
Sun, Shaohui and Carl Salvaggio. "Aerial 3D Building Detection and Modeling from Airborne LiDAR Point Clouds." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6. 3 (2013): 1440-1449. Web.
Aardt, Jan van, et al. "Geospatial Disaster Response During the Haiti Earthquake: A Case Study Spanning Airborne Deployment, Data Collection, Transfer, Processing, and Dissemination." Photogrammetric Engineering and Remote Sensing 77. 9 (2011): 943-952. Web.
Published Conference Proceedings
Zhang, Chi, et al. "Batch-normalized recurrent highway networks." Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP), 17-20 September 2017, Beijing, China. Ed. Jiebo Luo, Wenjun Zeng, and Yu-Jin Zhang. Beijing, China: n.p., Web.
Sun, Shaohui and Carl Salvaggio. "Complex Building Roof Detection and Strict Description from LiDAR Data and Orthorectified Aerial Imagery." Proceedings of the IEEE IGARRS 2012 - Analysis Techniques: Image Processing Techniques, Feature Detection in Images. Ed. Alberto Moreira and Yves-Louis Desnos. Munich, Germany: n.p., Web.
Sponagle, Paul and Carl Salvaggio. "Automatic Mission Planning Algorithms for Aerial Collection of Imaging-Specific Tasks." Proceedings of the Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II. Ed. J. Alex Thomasson, Mac McKee, and Robert Moorhead. Anaheim, CA: SPIE, 2017. Web.
Bondi, Elizabeth, et al. "Calibration of UAS Imagery Inside and Outside of Shadows for Improved Vegetation Index Computation." Proceedings of the Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping. Ed. John Valasek. Baltimore, MD: SPIE, 2016. Web.
Aardt, Jan van, et al. "Transforming Disease Management Through the Use of Unmanned Aerial Systems." Proceedings of the International Congress of Plant Pathology (ICPP) 2018 - Plant Health in a Global Economy. Ed. Mary Palm and Stephanie Bloem. Boston, MA: APS, 2018. Web.
Hughes, Ethan, et al. "Snap Bean Flowering Detection from UAS Imaging Spectroscopy." Proceedings of the 14th International Conference on Precision Agriculture. Ed. Georg Bareth, Fei Yuan, and Wolfgang Kainz. Montreal, Quebec, Canada: International Society of Precision Agriculture (ISPA), 2018. Web.
Mamaghani, Baabak, et al. "An initial exploration of vicarious and in-scene calibration techniques for small unmanned aircraft systems." Proceedings of the SPIE, Commercial + Scientific Sensing and Imaging, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III. Ed. Alex Thomasson. Orlando, FL: SPIE, 2018. Print.
Accettura, Margot, et al. "Hyperspectral detection of methane stressed vegetation." Proceedings of the SPIE, Commercial + Scientific Sensing and Imaging, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III. Ed. Alan Thomasson. Orlando, FL: SPIE, 2018. Print.
Zhang, Chi, et al. "Semantic Sentence Embeddings for Paraphrasing and Text Summarization." Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 14-16 November 2017, Montreal, QC, Canada. Ed. Warren Gross and Kostas Plataniotis. Montreal, QC, Canada: n.p., Web.
Carson, Tyler and Carl Salvaggio. "Signature Simulation of Mixed Materials." Proceedings of the Active and Passive Signatures VI. Ed. G. Charmaine Gilbreath, et al. Baltimore, Maryland: SPIE, 2015. Web.
Genivivia, Amanda, Jason Faulring, and Carl Salvaggio. "Automatic Georeferencing of Imagery From High-resolution, Low-altitude, Low-cost Aerial Platforms." Proceedings of the Geospatial InfoFusion and Video Analytics IV. Ed. Donnie Self, et al. Baltimore, Maryland: SPIE, 2014. Web.
Salvaggio, Katie, Carl Salvaggio, and Shea Hagstrom. "A Voxel-based Approach for Imaging Voids in Three-dimensional Point Clouds." Proceedings of the Geospatial InfoFusion and Video Analytics IV. Ed. Donnie Self, et al. Baltimore, Maryland: SPIE, 2014. Web.
Salvaggio, Katie N. and Carl Salvaggio. "Automated Identification of Voids in Three-dimensional Point Clouds." Proceedings of the Earth Observing Systems XVIII. Ed. James Butler, Xiaoxiong Xiong, and Xingfa Gu. San Diego, California: SPIE, 2013. Web.
Kerekes, John, et al. "Measurements and Modeling of LWIR Spectral Emissivity of Contaminated Quartz Sand." Proceedings of the Workshop on Hyperspectral Image and Signal Processing. Ed. Paul Gader and Melba Crawford. Gainesville, FL: n.p., 2013. Web.
Nilosek, David, Shaohui Sun, and Carl Salvaggio. "Geo-Accurate Model Extraction from Three-Dimensional Image-Derived Point Clouds." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Ed. Sylvia Shen and Paul Lewis. Baltimore, MD: SPIE, 2012. Web.
McKay, Troy, et al. "Passive Detection of Vehicle Loading." Proceedings of the Visual Information Processing and Communication III. Ed. Amir Said, Onur Guleryuz, and Robert Stevenson. San Francisco, CA: n.p., 2012. Web.
Ontiveros, Erin, et al. "Evaluation of Image Collection Requirements for 3D Reconstruction Using Phototourism Techniques on Sparse Overhead Data." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Ed. Sylvia Shen and Paul Lewis. Baltimore, MD: SPIE, 2012. Web.
Rossi, Adam J., et al. "Abstracted Workflow Framework with a Structure from Motion Application." Proceedings of the Western New York Image Processing Workshop. Rochester, NY: n.p., 2012. Print.
Paul, Sarah and Carl Salvaggio. "A Polynomial Regression Approach to Subpixel Temperature Extraction from a Single-band Thermal Infrared Image." Proceedings of the Thermosense XXXIII. Ed. Morteza Safai and Jeff Brown. Orlando, FL: SPIE, 2011. Web.
Bartlett, Brent, et al. "Anomaly Detection of Man-made Objects Using Spectro-polarimetric Imagery." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII. Ed. Sylvia Shen and Paul Lewis. Orlando, FL: SPIE, 2011. Web.
Bartlett, Brent, Jason Faulring, and Carl Salvaggio. "System Characterization and Analysis of the Multispectral Aerial Passive Polarimeter System (MAPPS)." Proceedings of the Polarization Science and Remote Sensing V. Ed. Joseph Shaw and J. Scott Tyo. San Diego, CA: SPIE, 2011. Web.
Published Article
Bartlett, B.D., M.G. Gartley, D.W. Messinger, C. Salvaggio, J.R. Schott. “Spectro-polarimetricbidirectional reflectance distribution function determination of in-scenematerials and its use in target detection applications”, Journal of Applied Remote Sensing, 4.043552 (2010): 1-21. Print. £
Nilosek, D.R.,C. Salvaggio. “Applying computer vision techniques to perform semi-automated analytical photogrammetry.” Image Processing Workshop, April 2010. n.p. Print. " 
Garrett, A.J., C. Salvaggio, M.V. Casterline. “Thermodynamics of partially frozen coolinglakes.” Proceedings of SPIE, SPIE Defenseand Security, Thermosense XXXII, Utilities and Fluid Dynamics, 7661 (2 April 2010): n.p. Print. " 
Casterline, M.V., C.Salvaggio, A.J. Garrett, J.W. Faulring, B.D.Bartlett, P.S. Salvaggio. “Improved temperature retrieval methods for the validation of a hydrodynamic simulation ofa partially frozen power plant cooling lake.”Proceedings of SPIE, SPIE Defense and Security, Thermosense XXXII, Utilities and Fluid Dynamics, 7661 (April 2010): n.p. Print. " 
Paul, S.E., A.A. Goodenough, S.D. Brown, C. Salvaggio. “Sub-pixel radiometry: A three-part study in generating synthetic imagery that incorporates sub-pixel variation.” Proceedings of SPIE, SPIE Defense and Security, Algorithms and Technologiesfor Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, Modeling and Simulation, 7695 (April 2010): n.p. Print. " 
Formal Presentation
Salvaggio, C., R.V. Raqueno, A.R. Scott, P.Y. Youkhana.“Accurate radiometric temperature measurements using thermal infrared imagery of small targets, physics-based modeling, and companion high-resolution optical image data sets.” University and Industry Technical Interchange Review Meeting, UITI 2010, Plenary Session. Knoxville, TN. December 2010. Presentation. "