July 28 - August 2, 2019 • Yokohama, Japan

Pacifico Yokohama

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My IGARSS 2019 Schedule

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Session Detail

Session Title FRP1.PK: Roads and Buildings
Presentation Mode Poster
Session Time Friday, 02 August, 09:40 - 10:40
Location Room 501-502: Poster Area K
Session ChairYang Xu, Nanjing University of Science and Technology
  FRP1.PK.1: ROAD NETWORK EXTRACTION FROM SATELLITE IMAGES USING CNN BASED SEGMENTATION AND TRACING
         Yao Wei; Wuhan University
         Kai Zhang; Wuhan University
         Shunping Ji; Wuhan University
  FRP1.PK.2: D-RESUNET: RESUNET AND DILATED CONVOLUTION FOR HIGH RESOLUTION SATELLITE IMAGERY ROAD EXTRACTION
         Zhiqun Liu; China University of Geosciences (Wuhan)
         Ruyi Feng; China University of Geosciences (Wuhan)
         Lizhe Wang; Wuhan University
         Yanfei Zhong; Wuhan University
         Liqin Cao; School of Printing and Packaging, Wuhan University
  FRP1.PK.3: ROAD CENTERLINES EXTRACTION FROM HIGH RESOLUTION REMOTE SENSING IMAGE
         Shikai Sun; China Transport Telecommunications & Information Center
         Wei Xia; China Transport Telecommunications & Information Center
         Bingqi Zhang; China Transport Telecommunications & Information Center
         Ying Zhang; China Transport Telecommunications & Information Center
  FRP1.PK.4: NEW NEURAL NETWORK AND AN IMAGE POSTPROCESSING METHOD FOR HIGH RESOLUTION SATELLITE IMAGERY ROAD EXTRACTION
         Yuxia Li; University of Electronic Science and Technology of China
         Bo Peng; University of Electronic Science and Technology of China
         Kunlong Fan; University of Electronic Science and Technology of China
         Lang Yuan; University of Electronic Science and Technology of China
         Ling Tong; University of Electronic Science and Technology of China
         Lei He; Chengdu University of Information Technology
  FRP1.PK.5: NEW NETWORK BASED ON D-LINKNET AND DENSENET FOR HIGH RESOLUTION SATELLITE IMAGERY ROAD EXTRACTION
         Bo Peng; University of Electronic Science and Technology of China
         Yuxia Li; University of Electronic Science and Technology of China
         Kunlong Fan; University of Electronic Science and Technology of China
         Lang Yuan; University of Electronic Science and Technology of China
         Ling Tong; University of Electronic Science and Technology of China
         Lei He; Chengdu University of Information Technology
  FRP1.PK.6: ROAD MATERIAL INFORMATION EXTRACTION BASED ON MULTI-FEATURE FUSION OF REMOTE SENSING IMAGE
         Chao Yang; University of Electronic Science and Technology of China
         Yuxia Li; University of Electronic Science and Technology of China
         Bo Peng; University of Electronic Science and Technology of China
         Yuan Cheng; University of Electronic Science and Technology of China
         Ling Tong; University of Electronic Science and Technology of China
  FRP1.PK.7: MULTI-SCALE ENHANCED DEEP NETWORK FOR ROAD DETECTION
         Xiaoyan Lu; Wuhan University
         Yanfei Zhong; Wuhan University
         Ji Zhao; China University of Geosciences
  FRP1.PK.8: LOCATION-SPECIFIC EMBEDDING LEARNING FOR THE SEMANTIC SEGMENTATION OF BUILDING FOOTPRINTS ON A GLOBAL SCALE
         Benjamin Bischke; German Research Center for Artificial Intelligence (DFKI)
         Patrick Helber; German Research Center for Artificial Intelligence (DFKI)
         Jörn Hees; German Research Center for Artificial Intelligence (DFKI)
         Andreas Dengel; German Research Center for Artificial Intelligence (DFKI)
  FRP1.PK.9: WEAKLY SUPERVISED BUILDING SEGMENTATION FROM AERIAL IMAGES
         Muhammad Usman Rafique; University of Kentucky
         Nathan Jacobs; University of Kentucky
  FRP1.PK.10: BUILDINGS EXTRACTION FROM REMOTE SENSING DATA USING DEEP LEARNING METHOD BASED ON IMPROVED U-NET NETWORK
         Yiru Duan; Shandong University of Science and Technology
         Lin Sun; Shandong University of Science and Technology
  FRP1.PK.11: CONVOLUTION BASED SPECTRAL PARTITIONING ARCHITECTURE FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Ringo S. W. Chu; University College London
         Ho-Cheung Ng; Imperial College London
         Xiwei Wang; China Academy of Space Technology
         Wayne Luk; Imperial College London