17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

MO5.V4.3

GRADUAL BOUNDARY NET: A GRADUAL BOUNDARY ATTENTION BASED DEEP LEARNING FRAMEWORK FOR CLOUD DETECTION

Kang Wu, Zunxiao Xu, Peng Ren, Xinrong Lyu, China University of Petroleum (East China), China
Session:
Object Detection and Analysis Oral Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 4
Presentation Time:
Mon, 18 Jul, 20:20 - 20:35 Malaysia Time (UTC +8)
Mon, 18 Jul, 14:20 - 14:35 Central European Time (UTC +2)
Mon, 18 Jul, 12:20 - 12:35 UTC
Mon, 18 Jul, 08:20 - 08:35 Eastern Time (UTC -4)
Session Co-Chairs:
Ribana Roscher, University of Bonn and David Hughes, Oak Ridge National Laboratory
Session Manager:
Jia Lin Lam
Presentation
Discussion
Resources
No resources available.
Session MO5.V4
MO5.V4.1: CLOUD DETECTION FOR REMOTE SENSING IMAGES BASED ON DIFFERENCE FEATURES AND SEMANTIC SEGMENTATION NETWORK
Nan Ma, Yawen He, China University of Petroleum, China; Lin Sun, Shandong University of Science and Technology, China; Chenghu Zhou, Institute of Geographic Sciences and Natural Resources Research, China
MO5.V4.2: POINTSHIFT: POINT-WISE SHIFT MLP FOR PIXEL-LEVEL CLOUD TYPE CLASSIFICATION IN METEOROLOGICAL SATELLITE IMAGERY
Yixiang Huang, Xin Jiang, Ming Wu, Chuang Zhang, Jun Guo, Beijing University of Posts and Telecommunications, China; Zhaoqing Wang, University of Sydney, Australia
MO5.V4.3: GRADUAL BOUNDARY NET: A GRADUAL BOUNDARY ATTENTION BASED DEEP LEARNING FRAMEWORK FOR CLOUD DETECTION
Kang Wu, Zunxiao Xu, Peng Ren, Xinrong Lyu, China University of Petroleum (East China), China
MO5.V4.4: SCTRANS: A TRANSFORMER NETWORK BASED ON THE SPATIAL AND CHANNEL ATTENTION FOR CLOUD DETECTION
Wenke Jiao, Yongjun Zhang, Bin Zhang, Yi Wan, Wuhan University, China
MO5.V4.5: A WEAKLY-SUPERVISED, MULTITASK DEEP LEARNING FRAMEWORK FOR SHADOW MITIGATION IN REMOTE SENSING IMAGERY
Scott Couwenhoven, Emmett Ientilucci, Rochester Institute of Technology, United States; Byung Park, David Hughes, Oak Ridge National Laboratory, United States
MO5.V4.6: OCCLUSION SENSITIVITY ANALYSIS OF NEURAL NETWORK ARCHITECTURES FOR EDDY DETECTION
Eike Bolmer, Adili Abulaitijiang, Jürgen Kusche, Ribana Roscher, University of Bonn, Germany