Technical Program

Session Detail

Session Title FRP1.PQ: Machine Learning Applications for Urban Remote Sensing
Presentation Mode Poster
Session Time Friday, 02 August, 09:40 - 10:40
Location Room 503: Poster Area Q
Session ChairFrancesca Cecinati, University of Bath

FRP1.PQ.1: SAR-IMAGE BASED URBAN CHANGE DETECTION IN BANGKOK, THAILAND USING DEEP LEARNING
         Raveerat Jaturapitpornchai; Tokyo Institute of Technology
         Masashi Matsuoka; Tokyo Institute of Technology
         Naruo Kanemoto; National Institute of Advanced Industrial and Science and Technology (AIST)
         Shigeki Kuzuoka; Space Shift
         Riho Ito; National Institute of Advanced Industrial and Science and Technology (AIST)
         Ryosuke Nakamura; National Institute of Advanced Industrial and Science and Technology (AIST)

FRP1.PQ.2: IDENTIFY URBAN AREA FROM REMOTE SENSING IMAGE USING DEEP LEARNING METHOD
         Jinxin Guo; Peking University
         Huazhong Ren; Peking University
         Yitong Zheng; Peking University
         Jing Nie; Peking University
         Shanshan Chen; Peking University
         Yuanheng Sun; Peking University
         Qiming Qin; Peking University

FRP1.PQ.3: DELINEATION OF THE URBAN FRINGE USING MULTI-INDICATORS AND DEEP NEURAL NETWORK
         Renbo Luo; Guangzhou University
         Xingnan Liu; Guangzhou University
         Zhifeng Wu; Guangzhou University
         Yingbiao Chen; Guangzhou University

FRP1.PQ.4: COMBINED MULTISCALE CONVOLUTIONAL NEURAL NETWORKS AND SUPERPIXELS FOR BUILDING EXTRACTION IN VERY HIGH-RESOLUTION IMAGES
         Hui Huang; China University of Petroleum (East China)
         Genyun Sun; China University of Petroleum (East China)
         Aizhu Zhang; China University of Petroleum (East China)
         Yanling Hao; China University of Petroleum (East China)
         Jun Rong; China University of Petroleum (East China)
         Li Zhang; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University

FRP1.PQ.5: ON ANOMALOUS DEFORMATION PROFILE DETECTION THROUGH SUPERVISED AND UNSUPERVISED MACHINE LEARNING
         Stefan-Adrian Toma; Military Technical Academy
         Bogdan Sebacher; Military Technical Academy
         Adrian Focsa; Military Technical Academy
         Mihai-Lica Pura; Military Technical Academy

FRP1.PQ.6: LEARNING SELF-ADAPTIVE SCALES FOR EXTRACTING URBAN FUNCTIONAL ZONES FROM VERY-HIGH-RESOLUTION SATELLITE IMAGES
         Xiuyuan Zhang; Peking University
         Shihong Du; Peking University

FRP1.PQ.7: BUILDING SHADOW DETECTION BASED ON DBM
         Guoqing Zhou; Guilin University of Technology
         Hongjun Sha; Guilin University of Technology
         Haoyu Wang; Guilin University of Technology
         Tao Yue; Guilin University of Technology
         Bin Jia; Guilin University of Technology

FRP1.PQ.8: URBAN ROADS NETWORK DETECTION FROM HIGH RESOLUTION REMOTE SENSING
         Lisa Yang; Massachusetts Institute of Technology
         Afreen Siddiqi; Massachusetts Institute of Technology
         Olivier de Weck; Massachusetts Institute of Technology

FRP1.PQ.9: URBAN-RURAL FRINGE RECOGNITION WITH THE INTEGRATION OF OPTICAL AND NIGHTTIME LIGHTS DATA
         Xiaolin Chen; School of Engineering and Information Technology, University of New South Wales
         Xiuping Jia; School of Engineering and Information Technology, University of New South Wales
         Mark Pickering; School of Engineering and Information Technology, University of New South Wales