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My IGARSS 2017 Schedule

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WE4.L6: Image and Data Fusion II

Session Type: Oral
Time: Wednesday, July 26, 16:20 - 18:00
Location: Room 202 CD
Session Chairs: Nick Younan, Mississippi State University and Maryam Rahnemoonfar, Texas A&M University-Corpus Christi
 
  WE4.L6.1: FEATURE FUSION OF HYPERSPECTRAL AND LIDAR DATA USING EXTINCTION PROFILES AND TOTAL VARIATION
         Pedram Ghamisi; German Aerospace Center (DLR) and Technical University of Munich (TUM)
         Behnood Rasti; Ubiversity of Iceland
         Xiao Xiang Zhu; German Aerospace Center (DLR) and Technical University of Munich (TUM)
 
  WE4.L6.2: FUSION OF MICROWAVE AND INFRARED DATA FOR ENHANCING ITS SPATIAL RESOLUTION
         Igor Yanovsky; Jet Propulsion Laboratory
         Ali Behrangi; Jet Propulsion Laboratory
         Mathias Schreier; Jet Propulsion Laboratory
         Van Dang; Jet Propulsion Laboratory
         Berry Wen; Jet Propulsion Laboratory
         Bjorn Lambrigtsen; Jet Propulsion Laboratory
 
  WE4.L6.3: VESSEL CLASSIFICATION FEATURES USING SPATIAL BAYESIAN INFERENCE FROM HISTORICAL AIS DATA
         Rory Meyer; Council for Scientific and Industrial Research
         Colin Schwegmann; Council for Scientific and Industrial Research
         Waldo Kleynhans; Council for Scientific and Industrial Research
 
  WE4.L6.4: ON THE POSSIBILITY OF CONDITIONAL ADVERSARIAL NETWORKS FOR MULTI-SENSOR IMAGE MATCHING
         Nina Merkle; German Aerospace Center (DLR)
         Peter Fischer; German Aerospace Center (DLR)
         Stefan Auer; German Aerospace Center (DLR)
         Rupert Müller; German Aerospace Center (DLR)
 
  WE4.L6.5: A SAR KNOWLEDGE BASE SYSTEM INTEGRATED MODEL, MEASUREMENT AND IMAGERY FOR INTERPRETATION
         Zhen Li; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Quan Chen; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Bangseng Tian; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Ping Zhang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences