Slide Fifth
Slide Second
Slide Fourth
Slide Sixth
Slide Sixth
International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE2.MM-4.4

LANDSLIDE DETECTION OF HIGH-RESOLUTION SATELLITE IMAGES USING ASYMMETRIC DUAL-CHANNEL NETWORK

Yaohui Liu, Wenzhuo Zhang, Xiaoxian Chen, Mingyang Yu, Yingjun Sun, Fei Meng, Shandong Jianzhu University, China; Xiwei Fan, China Earthquake Administration, China
Session:
Multi-applications of Image Segmentation I
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Wed, 14 Jul, 11:15-11:20 (UTC)
Wed, 14 Jul, 13:15-13:20 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 19:15-19:20 China Standard Time (UTC +8)
Wed, 14 Jul, 07:15-07:20 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
José Nascimento, Instituto de Telecomunicações, Instituto Superior and Shailendra Kumar Joshi, Space Applications Centre
Session Manager:
Pietro Mastro
Presentation
Discussion
Resources
Session WE2.MM-4
WE2.MM-4.1: RESEARCH ON FRACTURE RECOGNITION IN WELL LOGGING IMAGES:ADVERSARIAL LEARNING WITH ATTENTION
Wei Zhang, Tong Wu, Zhipeng Li, Yanjun Li, Yibing Shi, University of Electronic Science and Technology of China, China
WE2.MM-4.2: VecNet: A SPECTRAL AND MULTI-SCALE SPATIAL FUSION DEEP NETWORK FOR PIXEL-LEVEL CLOUD TYPE CLASSIFICATION IN HIMAWARI-8 IMAGERY
Zhaoqing Wang, Xiangyu Kong, Zhanbei Cui, Ming Wu, Chuang Zhang, Beijing University of Posts and Telecommunications, China; MingMing Gong, University of Melbourne, Australia; Tongliang Liu, University of Sydney, Australia
WE2.MM-4.3: SOIL TYPE CLASSIFICATION FROM HIGH RESOLUTION SATELLITE IMAGES WITH DEEP CNN
Abhinav Pandey, Devesh Kumar, Debarati B. Chakraborty, Indian Institute of Technology Jodhpur, India
WE2.MM-4.4: LANDSLIDE DETECTION OF HIGH-RESOLUTION SATELLITE IMAGES USING ASYMMETRIC DUAL-CHANNEL NETWORK
Yaohui Liu, Wenzhuo Zhang, Xiaoxian Chen, Mingyang Yu, Yingjun Sun, Fei Meng, Shandong Jianzhu University, China; Xiwei Fan, China Earthquake Administration, China
WE2.MM-4.5: Fire Detection using Deeplabv3+ with Mobilenetv2
Houda Harkat, José Nascimento, Instituto de Telecomunicações, Instituto Superior, Portugal; Alexandre Bernardino, Instituto de Sistemas e Robótica, Portugal
WE2.MM-4.6: TOWARDS ROBUST CLOUD DETECTION IN SATELLITE IMAGES USING U-NETS
Bartosz Grabowski, Maciej Ziaja, KP Labs, Poland; Michal Kawulok, Jakub Nalepa, KP Labs / Silesian University of Technology, Poland
WE2.MM-4.7: MEGH SANSUCHAK: A CLOUD MASK ALGORITHM FOR HIGH RESOLUTION PANCHROMATIC SATELLITE IMAGERY
Shailendra Kumar Joshi, Ichchhit Baranwal, Vaibhav Malhotra, Shilpa Prakash, B. Kartikeyan, Space Applications Centre, Indian Space Research Organisation, India
WE2.MM-4.8: THE REPROCESSING FOR HIMAWARI-8 BASED ON DEEP LEARNING
Haoyu Zhang, Zezhong Zheng, University of Electronic Science and Technology of China, China; Mingcang Zhu, Department of Natural Resources of Sichuan Province, China; Fangrong Zhou, Yunnan Power Grid Co., Ltd., China; Yong He, Sichuan Research Institute for Eco-system Restoration & Geo-hazard Prevention, China; Zhongnian Li, Central China Normal University, China; Guoqing Zhou, Guilin University of Technology, China; Zhiyong Wang, Mingqi Li, Ling Jiang, Qiang Liu, University of Electronic Science and Technology of China, China; Xuemei Li, Chengdu University of Technology, China
WE2.MM-4.9: CONVERTIBLE SPARSE CONVOLUTION FOR POINT CLOUD INSTACE SEGMENTATION
Jing Du, Guorong Cai, Zongyue Wang, Jinhe Su, Yundong Wu, JiMei University, China
WE2.MM-4.10: Object based image analysis for delineation of slope units
Naeem Shahzad, Xiaoli Ding, Sawaid Abbas, Hong Kong Polytechnic University, China; Syed Muhammad Iretza, University of the Punjab, Pakistan

Quicklinks

Downloads

Programme guide