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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.
(April 2018) Congratulations to Ph.D student Sanghui Han, she was awarded the first K. Stuart Shea USGIF Endowed Scholarship at USGIF's GEOINT 2018 Symposium. Congratulations Sanghui!
(January 2018) Congratulations to undergraduate student Ryan Connal, he is the 2018 ASPRS Scholars receipient of the Behrens Scholarship. ASPRS offers several scholarships to students studying geography, remote sensing, survey mapping and other related geospatial sciences disciplines. Congratulations Ryan!
(December 2017) Dr. Aaron Gerace was a guest editor and author for Journal of Applied Remote Sensing, special section on Improved Intercallibration of Earth Observation Data, which includes articles written by Dr.Charles Bachmann, Dr. Mathew Montanaro, and DIRS students Rehman Eon, Brittany Ambeau, Justin Harms, and Gregory Badura. https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-12/issue-1
(October 2017) DIRS Professor Dr. Anthony Vodacek collaboration strengthens Rwanda through education. http://www.rit.edu/news/story.php?id=64218&source=athenaeum
(September 2017) DIRS Professor Dr. Carl Salvaggio interviewed for the Rochester D & C and discusses RIT's role in helping Hurricane Harvey victims using aerial imaging. http://on.rocne.ws/2x3KjOj
(August 2017) We welcome Dr. Emmett Ientilucci as an Assistant Professor (tenure-track) here in the Center for Imaging Science affiliated with the DIRS Lab. Dr. Ientilucci previously was an Assistant Research Professor in the Center and emerged as the best candidate in our recent tenure-track faculty search. Congratulations Dr. Ientilucci!
(July 2017) DIRS Staff Scientists' Scott Brown, Adam Goodenough and Rolando Raqueno were honored at the 2017 USGIF GEOINT Symposium for their work with DIRSIG. Watch Scott Brown receive the award on behalf of the DIRSIG Team here: https://vimeo.com/220544579
(November 2016) Software developed by Aaron Gerace and Matt Montanaro, senior scientists in DIRS, improves the accuracy of NASA’s Landsat 8 Earth-sensing satellite, which was giving inaccurate readings due to defective optics in the thermal infrared sensor. Read more at RIT's University News: http://www.rit.edu/news/story.php?id=58199&source=enewsletter
To educate students and conduct research in the science, engineering and application of physics-based quantitative remote sensing and digital imaging systems (source-to-information) to aid in the solution of real-world problems.
Be known as the university laboratory of choice for education and research related to the physics-based phenomenology, modeling, collection, calibration, and analysis of remote sensing and digital imagery.
Our core values include integrity, dedication, respect, and commitment to excellence in our educational, research and professional activities.
Check out our Resources page for a listing of our equipment for image and ground reference data.
|6/1/18||Cody Webber||Detecting Enhanced Levels of Atmospheric Methane Using Thermal Infrared Imagery|
|6/8/18||Nilay Mokashi Thesis Defense 10 am in room 3215||Empirical Satellite Characterization for Realistic Imagery Generation|
|6/15/18||DIRS Group Meeting 11 am|
DIRS Group Meeting Schedule Spring 2018. We meet Monday's at 2 pm in CAR-3215.
|Cody Webber||Analysis of Multi-Spectral Enhanced Atmospheric Methane|
|Kevin Kha||Stray Light Testing at Planet Labs|
|Emmett Ientilucci||Review of India Trip|
A Path Traced to Radiative Transfer in Natural Waters
|Zhaoyu Cui||Red-edge Spectral Band Study for Future Landsat Instrument for Canopy Biophysical Parameter Retrieval|
|Erich Seifert||Drone Remote Sensing of Forests: Influence of Flight Altitude and Optical Sensor Resolution on Multi-View Reconstruction|
|Yihang Sun||Improvement of the Harris Corner Detector Using an Entrophy- Block-Based Strategy|
Simulation Techniques for Image Utility Analysis
Multispectral Change Detection Methods: Evaluation on Simulated & Real World Imagery
Applications for sUAS for Sustainable Forest Management
Pigment Diversity Estimation for Hyperspectral Images of the Selden Map of China
Hyperspectral Detection of Methane Stressed Vegetation
An Exploration of Vicarious & In-scene Calibration Techniques for Small Unmanned Aircraft Systems
|No meeting due to SPIE DSS|
DIRS Group Meeting Schedule Fall 2017. We meet Wednesdays at 10 am in CAR-3215.
|9/6/17||Ethan Hughes||USFS Mangrove Resilience Field Research Update|
|9/20/17||Greg Badura||Modeling the Impact of Surface Roughness on the BRDF of Clay Sediments|
|Roof Damage Assesment Using Deep Learning|
|10/11/17||Baabak Mamaghani||An Exploration of Vicarious and In-scene CalibrationTechniques for Small Unmanned Aircraft Systems|
|11/1/17||Ryan Ford||Modeling Landsat'O Lakes for Harmful Algae Blooms|
|11/8/17||Margo Accetura||Hyperspectral Analysis of Methane Stressed Vegetation Using a Simulated Pipleline Leak|
|11/15/17||Mohammed Yousefhussien||Semantic Segmentation of 3D Point Clouds|
|11/29/17||No Group Meeting|
Implementation of Cotangent Detection Algorithim in Earth Observing Statistical Performance Model