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2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
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Session Detail
Session Title
MO2.R16: Image and Data Fusion I
Presentation Mode
Virtual
Session Time
Mon, 28 Sep, 14:30 - 16:30 UTC
Mon, 28 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Mon, 28 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Chairs
Sébastien Lefèvre, IRISA and Mauro Dalla mura, Univ. Grenoble Alpes
MO2.R16.1:
INTEGRATING TIME-SERIES AND HIGH-SPATIAL REMOTE SENSING DATA BASED ON MULTILEVEL DECISION FUSION
Xudong Guan;
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences
Chong Huang;
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Gaohuan Liu;
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Qingsheng Liu;
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
MO2.R16.2:
PAN-SHARPENING WITH A CNN-BASED TWO STAGE RATIO ENHANCEMENT METHOD
Huanyu Zhou;
Beihang University
Qingjie Liu;
Beihang University
Qizhi Xu;
Beijing University of Chemical Technology
Yunhong Wang;
Beihang University
MO2.R16.3:
A NO-REFERENCE SUPER RESOLUTION FOR SATELLITE IMAGE QUALITY ENHANCEMENT FOR KOMPSAT-3
Yeonju Choi;
Korea Aerospace Research Institute
Yongwoo Kim;
Sangmyung University
MO2.R16.4:
MULTISCALE INFRARED AND VISIBLE IMAGE FUSION BASED ON PHASE CONGRUENCY AND SALIENCY
Jun Chen;
China University of Geosciences
Kangle Wu;
China University of Geosciences
Linbo Luo;
China University of Geosciences
Xiaoqiang Chen;
China University of Geosciences
Yue Gu;
China University of Geosciences
Xin Tian;
Wuhan University
MO2.R16.5:
AUTOMATIC FINE ALIGNMENT OF MULTISPECTRAL AND PANCHROMATIC IMAGES
Alberto Arienzo;
University of Florence
Luciano Alparone;
University of Florence
Bruno Aiazzi;
CNR - National Research Council
Andrea Garzelli;
University of Siena
MO2.R16.6:
SPATIO-TEMPORAL FUSION OF NIGHT-TIME LIGHT IMAGES WITH DEEP LEARNING
Peng Liu;
Aerospace Information Research Institute, Chinese Academy of Sciences
Wei Shan;
Yanshan University
Lei Li;
University of Chinese Academy of Sciences
Lajiao Chen;
Aerospace Information Research Institute, Chinese Academy of Sciences
Yan Ma;
Aerospace Information Research Institute, Chinese Academy of Sciences
Lingjun Zhao;
Aerospace Information Research Institute, Chinese Academy of Sciences
MO2.R16.7:
EVALUATION OF SPATIOTEMPORAL FUSION MODELS IN LAND SURFACE TEMPERATURE USING POLAR-ORBITING AND GEOSTATIONARY SATELLITE DATA
Yitao Li;
Chinese Academy of Sciences
Hua Wu;
Chinese Academy of Sciences
Zhao-Liang Li;
Institute of Agricultural Resources and Regional Planning
Sibo Duan;
Institute of Agricultural Resources and Regional Planning
Li Ni;
Chinese Academy of Sciences
MO2.R16.8:
OPTIMIZATION OF DSM PRODUCT GENERATION OF ZY-3 SATELLITE IMAGES BASED ON IMAGE FREQUENCY-DOMAIN FUSION AND FILTERING
Shuying Peng;
University of Electronic Science and Technology of China
Fang Huang;
University of Electronic Science and Technology of China
Jun Lu;
University of Electronic Science and Technology of China
Bo Tie;
University of Electronic Science and Technology of China
Yinjie Chen;
University of Electronic Science and Technology of China
MO2.R16.9:
INTERPOLATION OF GEOCHEMICAL DATA WITH ASTER IMAGES BASED ON ALEXNET CONVOLUTION NEURAL NETWORK
Shi Bai;
China University of Geosciences (Beijing)
Jie Zhao;
China University of Geosciences (Beijing)
MO2.R16.10:
SHIP DETECTION ON SINGLE-BAND GRAYSCALE IMAGERY USING DEEP LEARNING AND AIS SIGNAL MATCHING USING NON-RIGID TRANSFORMATIONS
Patrick Talon;
Deimos Space UK Ltd.
Juan Ignacio Bravo Pérez-Villar;
Deimos Space UK Ltd.
Anneley Hadland;
ESRI UK
Nina Sofia Wyniawskyj;
Deimos Space UK Ltd.
David Petit;
Deimos Space UK Ltd.
Mark Wilson;
BMT SCD
MO2.R16.11:
ADAPTIVE-WEIGHT FUSION NETWORK FOR LAND COVER CLASSIFICATION USING HETEROGENEOUS REMOTE SENSING IMAGES
Xiao Li;
National University of Defense Technology
Lin Lei;
National University of Defense Technology
Yuli Sun;
National University of Defense Technology
Gangyao Kuang;
National University of Defense Technology
