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Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 46, 2020 - Issue 3
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Article

An Efficient Change Detection for Large SAR Images Based on Modified U-Net Framework

Une détection efficace des changements pour les grandes images SAR basée sur un réseau U-Net modifié

Jujie Weia Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 28 Lianhuachi West Road, Beijing100036, ChinaView further author information
,
Yonghong Zhanga Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 28 Lianhuachi West Road, Beijing100036, ChinaCorrespondence[email protected]
View further author information
,
Hong’an Wua Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 28 Lianhuachi West Road, Beijing100036, ChinaView further author information
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Bin Cuia Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 28 Lianhuachi West Road, Beijing100036, China;b School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan430079, ChinaView further author information
Pages 272-294 | Received 11 Oct 2019, Accepted 08 Jun 2020, Published online: 07 Jul 2020

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