International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE2.MM-3: Advanced Segmentation for Landcover/Data Fusion
Wed, 14 Jul, 11:00 - 12:10 (UTC)
Wed, 14 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Wed, 14 Jul, 07:00 - 08:10 Eastern Standard Time (UTC -4)
Session Chair: Charles Peureux, Collecte Localisation Satellites
Session Manager: Wufan Zhao
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

WE2.MM-3.3: ATTENTION RESIDUAL U-NET FOR BUILDING SEGMENTATION IN AERIAL IMAGES

Chaohui Li, Yingjian Liu, Haoyu Yin, Yue Li, Qingxiang Guo, Limin Zhang, Pengting Du, Ocean University of China, China

WE2.MM-3.4: CASCADED DEEP NEURAL NETWORKS FOR PREDICTING BIASES BETWEEN BUILDING POLYGONS IN VECTOR MAPS AND NEW REMOTE SENSING IMAGES

Mingyang Hu, Wuhan University, China; Meng Lu, Utrecht University, China; Shunping Ji, Wuhan University, China

WE2.MM-3.5: DEEP LEARNING BASED WATER SEGMENTATION USING KOMPSAT-5 SAR IMAGES

Myeung Un Kim, Han Oh, Seung-Jae Lee, Yeonju Choi, Sanghyuck Han, Korea Aerospace Research Institute, Korea (South)

WE2.MM-3.6: A NOVEL DEEP TRANSFER LEARNING METHOD FOR SAR AND OPTICAL FUSION IMAGERY SEMANTIC SEGMENTATION

Yanjuan Liu, Yingying Kong, Nanjing University of Aeronautics and Astronautics, China

WE2.MM-3.7: SEA-LAND SEGMENTATION OF REMOTE SENSING IMAGE BASED ON SPATIAL CONSTRAINT MODEL SUPERPIXEL METHOD

JiaLe Zha, HuaiXin Chen, University of Electronic Science and Technology of China, China; ChengWu Bai, Sichuan Provincial Administration of Production Safety, China; ChengJie Ren, University of Electronic Science and Technology of China, China

WE2.MM-3.8: SEGMENTATION OF SENTINEL-1 SAR IMAGES OVER THE OCEAN, PRELIMINARY METHODS AND ASSESSMENTS

Aurélien Colin, Charles Peureux, Romain Husson, Collecte Localisation Satellites, France; Nicolas Longépé, Φ-lab Explore Office, Italy; Régis Rauzy, Collecte Localisation Satellites, France; Ronan Fablet, Pierre Tandeo, Samir Saoudi, Lab-STICC, UMR CNRS 6285, France; Alexis Mouche, Laboratoire d’Océanographie Physique et Spatiale, France; Gérald Dibarboure, Centre National d’Études Spatiales, France

WE2.MM-3.9: RESIDUAL ATTENTION MECHANISM FOR CONSTRUCTION DISTURBANCE DETECTION FROM SATELLITE IMAGE

Ning Lv, Hao Yuan, Chen Chen, Jiaxuan Deng, Tao Su, Xidian University, China; Yang Zhou, Ministry of water resources of China, China; Hua Yang, Northwest University, China