Technical Program

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
         C├ęcile 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