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Research Projects


The Digital Imaging and Remote Sensing (DIRS) Laboratory is a research group within the Chester F. Carlson Center for Imaging Science. Our work focuses on the development of hardware and software tools to facilitate the extraction of information from remotely sensed data of the earth and the education of students who will continue this work for government agencies and private industry.
DIRS Students Fall 2008DIRS Students Fall 2008

The DIRS group is made up of faculty and research staff working with over 30 students ranging from the Baccalaureate through Doctoral level. Most students are degree candidates in Imaging Science, but students from other departments, such as Engineering and Physics, are often part of the student population supporting our research initiatives. This year also saw the inclusion of several high school interns who were provided the opportunity to participate in research projects and learn more about imaging science.

View the DIRS Annual Reports

A Selection of Ongoing and Recent Research Projects

Digital Imaging and Remote Sensing Image Generation (DIRSIG) model

Wildfire Airborne Sensor Program (WASP)

WASP Lite

Model-Based Hyperspectral Exploitation Algorithm Development

Concealed Target Simulation

Hyperspectral Algorithm Development

Automated Scene Modeling From Multi-Sensor Modality Inputs

Integrated Sensor System Initiative

Wildland Fire Monitoring and Modeling

Landsat 5 and Landsat 7 Thermal Calibration

Physics-based Algorithms

Revolutionary Automatic Target Recognition and Sensor Research

Radiometric Modeling of Complex Cavernous Targets in Localized Microclimatic Conditions

Laboratory for Advanced Spectral Sensing

Spectral Quality Metric Comparison to Analyst Performance

Information Products Laboratory for Emergency Response(IPLER)

Network Sensor Systems

Light Detection and Ranging (LiDAR)

The Rochester Airborne Imagery Database for Education and Research (RAIDER)

Stratospheric Observatory for Infrared Astronomy(SOFIA)

GSI DGX-M

John Kerekes
Faculty
Profile >>
My research involves the modeling and analysis of remote sensing systems, including hyperspectral, SAR, and lidar imaging technologies. Combining statistical and physical approaches, this research aims to advance our understanding of fundamental remote sensing processes.

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