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

WE6.V9.2

HETEROGENEOUS IMAGE CHANGE DETECTION BASED ON TWO-STAGE JOINT FEATURE LEARNING

Te Han, Yuqi Tang, Yuzeng Chen, Central South University, China
Session:
Change Detection Multimedia Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 9
Presentation Time:
Wed, 20 Jul, 21:35 - 22:45 Malaysia Time (UTC +8)
Wed, 20 Jul, 15:35 - 16:45 Central European Time (UTC +1)
Wed, 20 Jul, 13:35 - 14:45 UTC
Wed, 20 Jul, 09:35 - 10:45 Eastern Time (UTC -5)
Session Chair:
Feng Gao, Ocean University of China
Session Manager:
Mohd Naqdyuzen Nordin
Presentation
Discussion
Resources
No resources available.
Session WE6.V9
WE6.V9.1: HYPERSPECTRAL IMAGE CHANGE DETECTION BASED ON MULTI-SCALE 3D CONVOLUTION AUTOENCODER
Yingjie Tang, Yuanze Fan, Shou Feng, Chunhui Zhao, Tianfang Luo, Harbin Engineering University, China
WE6.V9.2: HETEROGENEOUS IMAGE CHANGE DETECTION BASED ON TWO-STAGE JOINT FEATURE LEARNING
Te Han, Yuqi Tang, Yuzeng Chen, Central South University, China
WE6.V9.3: Change Detection in SAR images Based on a Multi-Scale Attention Convolution Network
Xin Li, Feng Gao, Junyu Dong, Lin Qi, Ocean University of China, China
WE6.V9.4: UNSUPERVISED MULTICLASS CHANGE DETECTION FOR MULTIMODAL REMOTE SENSING DATA
Sanid Chirakkal, Arundhati Misra, Indian Space Research Organisation, India; Francesca Bovolo, Fondazione Bruno Kessler, Italy; Lorenzo Bruzzone, University of Trento, Italy; Avik Bhattacharya, Indian Institute of Technology Bombay, India
WE6.V9.5: REMOTE SENSING IMAGE CHANGE DETECTION BASED ON DEEP SIAMESE NEURAL NETWORK WITH CONVOLUTIONAL LSTM AND CHANNEL ATTENTION
Linlin Wang, Junping Zhang, Qingle Guo, Jian Liu, Harbin Institute of Technology, China
WE6.V9.6: PHOTOVOLTAIC INSTALLATIONS CHANGE DETECTION FROM REMOTE SENSING IMAGES USING DEEP LEARNING
Kaiyuan Shi, Zhibao Wang, Xifeng Tong, Northeast Petroleum University, China; Lu Bai, Maurice Mulvenna, Raymond Bond, Ulster University, United Kingdom
WE6.V9.7: UAL: UNCHANGED AREA LOSS-FUNCTION FOR CHANGE DETECTION NETWORKS
Chaowei Han, Northwestern Polytechnical University, China; Qiantong Wang, Beijing University of Technology, China; Leigang Huo, Nanning Normal University, China; Chunlei Huo, Institute of Automation, Chinese Academy of Sciences, China
WE6.V9.8: SIAMESE HIGH-RESOLUTION NETWORK FOR CHANGE DETECTION
Yu Wang, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Nanjing University of Science and Technology, China; Jiao Shi, Northwestern Polytechnical University, China
WE6.V9.9: LEARNING TRANSFORMATIONS BETWEEN HETEROGENEOUS SAR AND OPTICAL IMAGES FOR CHANGE DETECTION
Zhenqing Chen, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Nanjing University of Science and Technology, China; Jiao Shi, Northwestern Polytechnical University, China
WE6.V9.10: MULTI-TASK LEARNING FOR SEMANTIC CHANGE DETECTION ON VHR REMOTE SENSING IMAGES
Yuan Zhou, Jiahang Zhu, Chunlei Huo, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China; Leigang Huo, Nanning Normal University, China