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

TU5.V7.1

Semantic decoupled representation learning for remote sensing image change detection

Hao Chen, Yifan Zao, Liqin Liu, Zhenwei Shi, Beihang University, China; Song Chen, Jeonuk National University, South Korea
Session:
Change Detection I Oral Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 7
Presentation Time:
Tue, 19 Jul, 19:50 - 20:05 Malaysia Time (UTC +8)
Tue, 19 Jul, 13:50 - 14:05 Central European Time (UTC +2)
Tue, 19 Jul, 11:50 - 12:05 UTC
Tue, 19 Jul, 07:50 - 08:05 Eastern Time (UTC -4)
Session Chair:
Lorenzo Bruzzone, University of Trento
Session Manager:
Khe Kheng Kow
Presentation
Discussion
Resources
No resources available.
Session TU5.V7
TU5.V7.1: Semantic decoupled representation learning for remote sensing image change detection
Hao Chen, Yifan Zao, Liqin Liu, Zhenwei Shi, Beihang University, China; Song Chen, Jeonuk National University, South Korea
TU5.V7.2: CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGE BASED ON SEMI-SUPERVISED SEGMENTATION AND ADVERSARIAL LEARNING
Shengnan Yang, Shilong Hou, Yifan Zhang, Hongyu Wang, Xiaorui Ma, Dalian University of Technology, China
TU5.V7.3: A SUB-PIXEL CONVOLUTION-BASED RESIDUAL NETWORK FOR HYPERSPECTRAL IMAGE CHANGE DETECTION
Lifeng Wang, Harbin Engineering University, China; Liguo Wang, Dalian Minzu University, China; Lorenzo Bruzzone, University of Trento, Italy
TU5.V7.4: CONVOLUTIONAL NEURAL NETWORK-BASED FRACTAL CODING METHOD FOR IMAGE TRANSLATION IN MULTIMODAL CHANGE DETECTION
Anamaria Radoi, Melisa Unsalan, University Politehnica of Bucharest, Romania
TU5.V7.5: MULTI-SCALE ATTENTION BASED TRANSFORMER U-NET FOR CHANGE DETECTION
Hengzhi Chen, Xiaofeng Wu, Zhiyong Wang, The University of Sydney, Australia; Shan Zeng, Wuhan Polytechnic University, China
TU5.V7.6: URBAN CHANGE DETECTION USING A DUAL-TASK SIAMESE NETWORK AND SEMI-SUPERVISED LEARNING
Sebastian Hafner, Yifang Ban, Andrea Nascetti, KTH Royal Institute of Technology, Sweden