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The Digital Imaging and Remote Sensing (DIRS) Laboratory was formed over 30 years ago at the Rochester Institute of Technology (RIT) to serve as a focal point for remote sensing research and education at RIT. The DIRS Laboratory is one of the research laboratories within RIT's Chester F. Carlson Center for Imaging Science, an academic unit within the College of Science. DIRS focuses on the development of tools to extract information about the earth from aerial and satellite imaging systems with an emphasis on the application of science and engineering to solving end-to-end remote sensing problems using a systems engineering approach. This includes design and development of imaging instruments, developing algorithms to extract information from remotely sensed systems and measurement and modeling of the physical phenomena associated with the formation of remotely sensed images. DIRS currently has about 40 graduate students conducting advanced remote sensing research who are supported by 10 faculty and 10 full time research and administrative staff. DIRS has on-going research partnerships with multiple federal agencies, large and small companies, and other academic institutions.
Check out our Resources page for a listing of our equipment for image and ground reference data.
DIRS Group Meeting Schedule Fall 2016. We meet Wednesdays at 11 am in CAR-3215.
|9/7||John Kerekes||Overview of DIRS Laboratory and Projects|
|9/14||Zhaoyu Cui||Future Landsat Spatial-spectral Trade-off Study|
Jared van Cor
Machine Learning and Statistical Analysis for Reflectance Spectrum Classification
Quantifying the Relevence of Earthshine in Exoatmospheric Imaging
|9/28||Adam Goodenough||DIRSIG 5.0|
Validating DIRSIG 5 Via RAMI Scenes
Generating Labeled Data for Deep Semantic Segmentation in Remote Sensing Imagery
Predicting Above- and Below-ground Carbon Storage in Wetland Ecosystems
The Effect of Roughness on the Reflectance of Sediments
Improvements to an Earth Observing Statistical Performance Model with Applications to LWIR Spectral Variability
Stray Light Calibration for Landsat 8 TIRS
Quantification of Cynobacteria Blooms Using UAS Imagery
Automated Flight Planning Tools for Imaging Purposes
Estimating Top-of-atmosphere Thermal Infrared Radiance using MERRA2 Atmospheric Data