TU2.R12.8

ONLINE POINT CLOUD SUPER RESOLUTION USING DICTIONARY LEARNING FOR 3D URBAN PERCEPTION

Rajat Shinde, Abhishek Potnis, Surya Durbha, Indian Institute of Technology Bombay, India

Session:
Multispectral Urban Remote Sensing

Track:
Land Applications

Presentation Time:
Tue, 29 Sep, 15:40-15:50 (UTC)
Tue, 29 Sep, 23:40-23:50 China Standard Time (UTC +8)
Tue, 29 Sep, 17:40-17:50 Central Europe Summer Time (UTC +2)
Tue, 29 Sep, 08:40-08:50 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Paolo Gamba, University of Pavia and Hongsheng Zhang, University of Hong Kong
Session Managers:
Mohini Naik and Elena Ionescu

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Session

TU2.R12.1: FORECASTING LAND SURFACE TEMPERATURE USING ARTIFICIAL NEURAL NETWORK
Nimish G., Bharath H.A., Indian Institute of Technology Kharagpur, India
TU2.R12.2: DECISION FUSION OF PIXEL-BASED AND REGION-BASED SEGMENTATION FOR BUILDING DETECTION
Pei He, Siyu Cao, Shuang Wang, Chi Zhang, Yanhe Guo, Yao Wang, Biao Hou, Xidian University, China
TU2.R12.3: AN ACCURATE EXTRACTION ALGORITHM OF THE INDOOR BOUNDARY FEATURES BASED ON POINT CLOUD DATA
Zhonghua Su, Guiyun Zhou, Ze He, Xiaolei Shi, University of Electronic Science and Technology of China, China; Xukun Lu, China Academy of Electronics and Information Technology, China; Yifan Xu, University of Electronic Science and Technology of China, China
TU2.R12.4: Automatic extraction of built-up areas for Cities in China from GF-3 images based on improved Residual U-Net Network
JuanJuan Li, Chao Wang, Hong Zhang, Fan Wu, Lu Li, Chinese Academy of Sciences, China; Lixia Gong, China Earthquake Administration, China
TU2.R12.5: COMPARISON OF MODIS LAND SURFACE TEMPERATURE AND AIR TEMPERATURE OVER GLOBAL IN 2015
Ping Zhang, Robert Wolfe, Lahouari Bounoua, NASA Goddard Space Flight Center, United States
TU2.R12.6: URBAN HEAT ISLANDS AND REMOTE SENSING: CHARACTERIZING LAND SURFACE TEMPERATURE AT THE NEIGHBORHOOD SCALE
Anna Liebowitz, Columbia University, United States; Elizabeth Sebastian, Fusion Academy, United States; Claudia Yanos, University of Chicago, United States; Matthew Bilik, Brooklyn Technical High School, United States; Reginald Blake, Hamidreza Norouzi, New York City College of Technology, CUNY, United States
TU2.R12.7: INFERENCE OF URBAN FUNCTION ZONE BASED ON DEEP NEURAL NETWORK
Ankai Hou, University of Electronic Science and Technology of China, China; Mingcang Zhu, Department of Natural Resources of Sichuan Province, China; Pengshan Li, Chengdu Land Planning and Cadastre Center, China; Yong He, Sichuan Research Institute for Eco-system Restoration & Geo-disaster Prevention, China; Xiaobo Zhang, Jibao Shi, Kai Chen, Tao Weng, Chengdu Institute of Survey & Investigation, China; Zezhong Zheng, University of Electronic Science and Technology of China, China; Guoqing Zhou, Guilin University of Technology, China
TU2.R12.8: ONLINE POINT CLOUD SUPER RESOLUTION USING DICTIONARY LEARNING FOR 3D URBAN PERCEPTION
Rajat Shinde, Abhishek Potnis, Surya Durbha, Indian Institute of Technology Bombay, India
TU2.R12.9: SPATIO-TEMPORAL DYNAMICS OF SURFACE URBAN HEAT ISLAND PHENOMENA AND URBAN DEVELOPMENT IN THREE CHINESE COASTAL METROPOLISES
Fei Liu, University of Tsukuba, Japan
TU2.R12.10: A SHADOW FREE MULTISOURCE STACK SPARSE AUTOENCODER FRAMEWORK FOR URBAN IMPERVIOUS SURFACE MAPPING
Yinyi Lin, Chinese University of Hong Kong, China; Hongsheng Zhang, University of Hong Kong, China; Peifeng Ma, Chinese University of Hong Kong, China; Hui Lin, Jiangxi Normal University, China
TU2.R12.11: RESEARCH ON THE DEVELOPMENT OF URBANIZATION IN YANGTZE RIVER ECONOMIC BELT BASED ON NIGHTTIME LIGHT REMOTE SENSING DATA
Wei Zhang, Jianwei Qi, Guanghui Wang, Tao Zhang, Haoran Zhai, Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China, China
TU2.R12.12: ALGORITHM FOR URBAN SPONTANEOUS GREEN SPACE DETECTION BASED ON OPTICAL SATELLITE REMOTE SENSING
Wojciech Ciężkowski, Piotr Sikorski, Piotr Babańczyk, Daria Sikorska, Jarosław Chormański, Warsaw University of Life Sciences, Poland