MHI-L.1: Multispectral and Hyperspectral Imaging and Analysis I |
Symposium: Multispectral and Hyperspectral Imaging and Analysis |
Session Type: Lecture |
Time: Wednesday, November 28, 14:00 - 15:30 |
Location: Safari |
Session Chairs: John Kerekes, Rochester Institute of Technology and Saurabh Prasad, University of Houston |
14:00 - 14:18 |
MHI-L.1.1: APPLICATION OF ACTIVE DEEP LEARNING FOR PROFILING CELLULAR ALTERATIONS FROM MULTISPECTRAL BRAIN TISSUE IMAGES |
Aditi Singh; University of Houston |
Hien Nguyen; University of Houston |
Badrinath Roysam; University of Houston |
14:18 - 14:36 |
MHI-L.1.2: SIAMESE NETWORK WITH MULTI-LEVEL FEATURES FOR PATCH-BASED CHANGE DETECTION IN SATELLITE IMAGERY |
Faiz Ur Rahman; Rochester Institute of Technology |
Bhavan Kumar Vasu; Rochester Institute of Technology |
Jared Van Cor; Rochester Institute of Technology |
John Kerekes; Rochester Institute of Technology |
Andreas Savakis; Rochester Institute of Technology |
14:36 - 14:54 |
MHI-L.1.3: ANOMALY DETECTION WITH HIGH RESOLUTION HYPERSPECTRAL OBSERVATIONS |
Cécile Chenot; University of Edinburgh |
Mehrdad Yaghoobi; University of Edinburgh |
Mike E. Davies; University of Edinburgh |
Yoann Altmann; Heriot-Watt University |
14:54 - 15:12 |
MHI-L.1.4: GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR HYPERSPECTRAL DATA CLASSIFICATION |
Farideh Foroozandeh Shahraki; University of Houston |
Saurabh Prasad; University of Houston |
15:12 - 15:30 |
MHI-L.1.5: ADVERSARIAL LEARNING FOR DOMAIN ADAPTED LARGE SCALE MAPPING |
Lexie Yang; Oak Ridge National Laboratory |
Dalton Lunga; Oak Ridge National Laboratory |
Nikhil Makkar; Oak Ridge National Laboratory |
Nkosinathi Ndlovu; Oak Ridge National Laboratory |
Xueqing Deng; University of California, Merced |