Technical Program

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SS-RSDA: Special Session: Computer Vision and Machine Learning for Remote Sensing Data Analysis

Paper Presentations and Interactive Q&A Time: Tuesday, September 21, 08:00 - 09:30
Session Chairs: Devis Tuia, EPFL, Sébastien Lefèvre, University of South Brittany & Digital Earth, France, Jianzhe Lin, UBC, Canada and Lichao Mou, Technical University of Munich & German Aerospace Center, Germany
 
 SS-RSDA.1: SPATIO-TEMPORAL CROP CLASSIFICATION ON VOLUMETRIC DATA
         Muhammad Usman Qadeer; Lahore University of Management Sciences
         Salar Saeed; Lahore University of Management Sciences
         Murtaza Taj; Lahore University of Management Sciences
         Abubakr Muhammad; Lahore University of Management Sciences
 
 SS-RSDA.2: SLICED SPARSITY MEASURE FOR TENSOR TO MULTISPECTRAL IMAGE DENOISING
         Tongle Wu; University of Electronic Science and Technology of China
         Bin Gao; University of Electronic Science and Technology of China
         Wai Lok Woo; Northumbria University
 
 SS-RSDA.3: AFDN: ATTENTION-BASED FEEDBACK DEHAZING NETWORK FOR UAV REMOTE SENSING IMAGE HAZE REMOVAL
         Shan Wang; Beijing Normal University
         Hanlin Wu; Beijing Normal University
         Libao Zhang; Beijing Normal University
 
 SS-RSDA.4: HIM-NET: A NEW NEURAL NETWORK APPROACH FOR SAR AND OPTICAL IMAGE TEMPLATE MATCHING
         Haoran Xu; Northwestern Polytechnical University
         Mingyi He; Northwestern Polytechnical University
         Zhibo Rao; Northwestern Polytechnical University
         Wenyao Li; Northwestern Polytechnical University
 
 SS-RSDA.5: SPECTRAL-SPATIAL FUSED ATTENTION NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Ningyang Li; Hainan University
         Zhaohui Wang; Hainan University
 
 SS-RSDA.6: ENHANCED HYPERSPECTRAL IMAGE SUPER-RESOLUTION VIA RGB FUSION AND TV-TV MINIMIZATION
         Marija Vella; Heriot-Watt University
         Bowen Zhang; Beijing Jiaotong University
         Wei Chen; Beijing Jiaotong University
         João F. C. Mota; Heriot-Watt University
 
 SS-RSDA.7: A CONSENSUAL COLLABORATIVE LEARNING METHOD FOR REMOTE SENSING IMAGE CLASSIFICATION UNDER NOISY MULTI-LABELS
         Ahmet Kerem Aksoy; Technische Universität Berlin
         Mahdyar Ravanbakhsh; Technische Universität Berlin
         Tristan Kreuziger; Technische Universität Berlin
         Begüm Demir; Technische Universität Berlin
 
 SS-RSDA.8: BUILDING FOOTPRINT GENERATION BY INTEGRATING U-NET WITH DEEPENED SPACE MODULE
         Jun Chen; China University of Geosciences, Wuhan
         Yuxuan Jiang; China University of Geosciences, Wuhan
         Linbo Luo; China University of Geosciences, Wuhan
         Yue Gu; China University of Geosciences, Wuhan
         Kangle Wu; China University of Geosciences, Wuhan
 
 SS-RSDA.9: SINGLE REMOTE SENSING IMAGE DEHAZING USING A DUAL-STEP CASCADED RESIDUAL DENSE NETWORK
         Yufeng Huang; Shenyang Aerospace University
         Xiang Chen; Shenyang Aerospace University
 
 SS-RSDA.10: A LIGHTWEIGHT RELU-BASED FEATURE FUSION FOR AERIAL SCENE CLASSIFICATION
         Md Adnan Arefeen; University of Missouri-Kansas City
         Sumaiya Tabassum Nimi; University of Missouri-Kansas City
         Md Yusuf Sarwar Uddin; University of Missouri-Kansas City
         Zhu Li; University of Missouri-Kansas City
 
 SS-RSDA.11: SEMANTIC-AWARE NETWORK FOR AERIAL-TO-GROUND IMAGE SYNTHESIS
         Jinhyun Jang; Yonsei University
         Taeyong Song; Yonsei University
         Kwanghoon Sohn; Yonsei University