Art

J-GLOBAL ID：202302241005789772   Reference number：23A0818003

Deep Learning-Based Change Detection in Remote Sensing Images: A Review

リモートセンシング画像における深層学習ベース変化検出:レビュー【JST・京大機械翻訳】

Author (5)： Shafique Ayesha (School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China) ,  Cao Guo (School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China) ,  Khan Zia (Department of Computer Science, Central South University, Changsha 410083, China) ,  Asad Muhammad (Department of Computer Science, Nagoya Institute of Technology, Nagoya 466-8555, Aichi, Japan) ,  Aslam Muhammad (School of Computing, Engineering and Physical Sciences, University of West of Scotland, Blantyre, Glasgow G72 0LH, UK)
Material： Remote Sensing (Web)
Volume： 14  Issue： 4  Page： 871  Publication year： 2022 
JST Material Number： U7270A  ISSN： 2072-4292  Document type： Article
Article type： 文献レビュー  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Images gathered from different...

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Thesaurus term： satellite ,  *detection ,  management ,  data ,  *image ,  *remote sensing ,  built-up area ,  spectral image ,  radar image ,  land cover ,  *machine learning
Semi thesaurus term： ハイパースペクトル ,  多重スペクトル ,  ハイパースペクトル画像 ,  マルチスペクトル画像 ,  変化検出 ,  SAR画像 ,  *リモートセンシング画像 ,  災害管理 ,  *深層学習 , 【Automatic Indexing@JST】

Author keywords (8)： change detection methods ,  remote sensing images ,  SAR image ,  multispectral images ,  hyperspectral images ,  VHR images ,  heterogeneous image ,  deep learning

JST classification (2)： Graphic and image processing in general  (JE04010I) ,  Remote sensing in general  (AD04000L)

Reference (196)：

• Varghese, A.; Gubbi, J.; Ramaswamy, A.; Balamuralidhar, P. ChangeNet: A deep learning architecture for visual change detection. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops, Munich, Germany, 8-14 September 2018.
• Singh, A. Review article digital change detection techniques using remotely-sensed data. Int. J. Remote Sens. 1989, 10, 989-1003.
• Si Salah, H.; Goldin, S.E.; Rezgui, A.; Nour El Islam, B.; Ait-Aoudia, S. What is a remote sensing change detection technique? Towards a conceptual framework. Int. J. Remote Sens. 2020, 41, 1788-1812.
• Liu, R.; Kuffer, M.; Persello, C. The temporal dynamics of slums employing a CNN-based change detection approach. Remote Sens. 2019, 11, 2844.
• Huang, X.; Cao, Y.; Li, J. An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images. Remote Sens. Environ. 2020, 244, 111802.

Terms in the title (4)： リモートセンシング画像 ,  深層学習 ,  変化検出 ,  レビュー