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

WE5.V7.5

MULTI-TEMPORAL SPATIAL-SPECTRAL COMPARISON NETWORK FOR HYPERSPECTRAL ANOMALOUS CHANGE DETECTION

Meiqi Hu, Chen Wu, Bo Du, Wuhan University, China
Session:
Change Detection II Oral Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 7
Presentation Time:
Wed, 20 Jul, 20:50 - 21:05 Malaysia Time (UTC +8)
Wed, 20 Jul, 14:50 - 15:05 Central European Time (UTC +2)
Wed, 20 Jul, 12:50 - 13:05 UTC
Wed, 20 Jul, 08:50 - 09:05 Eastern Time (UTC -4)
Session Chair:
Sébastien Drouyer, ENS Paris Saclay
Session Manager:
Khe Kheng Kow
Presentation
Discussion
Resources
No resources available.
Session WE5.V7
WE5.V7.1: REMOTE SENSING IMAGE CHANGE DETECTION BASED ON DEEP DICTIONARY LEARNING
Yuqun Yang, Xu Tang, Jingjing Ma, Licheng Jiao, Xidian University, China; Fang Liu, Nanjing University of Science and Technology, China
WE5.V7.2: Change detection: discerning real changes from noise on PlanetScope pairs of images
Sébastien Drouyer, ENS Paris Saclay, France
WE5.V7.3: SPATIAL-ADAPTIVE AND FEATURE-ENHANCED SIAMESE NETWORK FOR CHANGE DETECTION
Yangguang Liu, Fang Liu, Jia Liu, Kaixuan Jiang, Liang Xiao, Nanjing University of Science and Technology, China; Xu Tang, Xidian University, China
WE5.V7.4: DUAL UNET: A NOVEL SIAMESE NETWORK FOR CHANGE DETECTION WITH CASCADE DIFFERENTIAL FUSION
Kaixuan Jiang, Jia Liu, Fang Liu, Wenhua Zhang, Yangguang Liu, Nanjing University of Science and Technology, China; Jiao Shi, Northwestern Polytechnical University, China
WE5.V7.5: MULTI-TEMPORAL SPATIAL-SPECTRAL COMPARISON NETWORK FOR HYPERSPECTRAL ANOMALOUS CHANGE DETECTION
Meiqi Hu, Chen Wu, Bo Du, Wuhan University, China
WE5.V7.6: OPTICAL SATELLITE IMAGE CHANGE DETECTION VIA TRANSFORMER-BASED SIAMESE NETWORK
Yang Wu, Yuyao Wang, Yanheng Li, Qizhi Xu, Beijing Institute of Technology, China