IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

WE2.MM-11.3

AN UNSUPERVISED CHANGE DETECTION APPROACH FOR DENSE SATELLITE IMAGE TIME SERIES USING 3D CNN

Khatereh Meshkini, Francesca Bovolo, Fondazione Bruno Kessler, Italy; Lorenzo Bruzzone, University of Trento, Italy

Session:

Change Detection Techniques for Multi- and Hyper-spectral Data

Track:

Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:

Wed, 14 Jul, 11:10-11:15 (UTC)
Wed, 14 Jul, 13:10-13:15 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 19:10-19:15 China Standard Time (UTC +8)
Wed, 14 Jul, 07:10-07:15 Eastern Daylight Time (UTC -4)

Session Co-Chairs:

James Theiler, Los Alamos National Laboratory and Matthieu Molinier, VTT Technical Research Centre of Finland Ltd

Session Manager:

Hira Zafar

Session WE2.MM-11

WE2.MM-11.1: A patch tensor-based change detection method for hyperspectral images

Zengfu Hou, Wei Li, Beijing Institute of Technology, China; Qian Du, Mississippi State University, United States

WE2.MM-11.2: A novel hyperspectral image change detection framework based on 3D-Wavelet domain active convolutional neural network

Xianghai Wang, Chengdi Xing, Yining Feng, Ruoxi Song, Zhenhua Mu, Liaoning Normal University, China

WE2.MM-11.3: AN UNSUPERVISED CHANGE DETECTION APPROACH FOR DENSE SATELLITE IMAGE TIME SERIES USING 3D CNN

Khatereh Meshkini, Francesca Bovolo, Fondazione Bruno Kessler, Italy; Lorenzo Bruzzone, University of Trento, Italy

WE2.MM-11.4: HIGH-RESOLUTION REMOTE SENSING IMAGES CHANGE DETECTION WITH SIAMESE HOLISTICALLY-GUIDED FCN

Huayu Zhang, Xu Tang, Xidian University, China; Xiao Han, Geovis Spatial Technology Co.,Ltd, China; Jingjing Ma, Xiangrong Zhang, Licheng Jiao, Xidian University, China

WE2.MM-11.5: A spatial-temporal-channel attention Unet++ for high resolution remote sensing image change detection

Mingliang Liu, Jinjie Huang, Harbin University of Science and Technology, China; Lei Ma, Ling Wan, Institute of Automation, Chinese Academy of Sciences, China; Jialong Guo, Beijing University of Technology, China; Dongpan Yao, University of Chinese Academy of Sciences, China

WE2.MM-11.6: A SIAMESE GLOBAL LEARNING FRAMEWORK FOR MULTI-CLASS CHANGE DETECTION

Xi Guo, Qiqi Zhu, Weihuan Deng, Qingfeng Guan, China University Of Geosciences, China

WE2.MM-11.7: REMOTE SENSING IMAGE CHANGE DETECTION BASED ON FULLY CONVOLUTIONAL NETWORK WITH PYRAMID ATTENTION

Shujun Li, Lianzhi Huo, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China

WE2.MM-11.8: END-TO-END CHANGE DETECTION IN SATELLITE REMOTE SENSING IMAGERY

Meziane Iftene, Agence Spatiale Algérienne, Algeria; Mohammed El Amin Larabi, Algerian Space Agency, Algeria; Moussa Sofiane Karoui, Centre des Techniques Spatiales, Algeria

WE2.MM-11.9: Change analysis in registered satellite image time series

Tristan Dagobert, Rafael Grompone von Gioi, Université Paris-Saclay, France; Charles Hessel, Université Paris-Saclay & Kayrros, France; Jean-Michel Morel, Université Paris-Saclay, France; Carlo de Franchis, Université Paris-Saclay & Kayrros, France

WE2.MM-11.10: MULTI-OBJECTS CHANGE DETECTION BASED ON RES-UNET

Lang Yuan, Yuxia Li, Yu Si, Junmei Ren, Yizhuo Yang, Yushu Gong, Yongqiang Xia, Zhonggui Tong, Ling Tong, University of Electronic Science and Technology of China, China

AN UNSUPERVISED CHANGE DETECTION APPROACH FOR DENSE SATELLITE IMAGE TIME SERIES USING 3D CNN

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