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Geo-spatial Information Science Volume 26, 2023 - Issue 3
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Research Article

Deep learning for change detection in remote sensing: a review

Ting Baia Project Planning Department, Wuhan Land Arranging Storage Center, Wuhan, ChinaORCID Iconhttps://orcid.org/0000-0002-7990-5405View further author information
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Le Wangb Department of Geography, University at Buffalo, The State University of New York, Buffalo, USACorrespondence[email protected]
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,
Dameng Yinc Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0001-9668-2744View further author information
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Kaimin Sund State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaORCID Iconhttps://orcid.org/0000-0002-2664-9479View further author information
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Yepei Chene School of Computer Science, Hubei University of Technology, Wuhan, ChinaORCID Iconhttps://orcid.org/0000-0002-2877-5065View further author information
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Wenzhuo Lid State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaORCID Iconhttps://orcid.org/0000-0002-2920-3202View further author information
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Deren Lid State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;f Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, ChinaView further author information
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Pages 262-288 | Received 19 Aug 2021, Accepted 30 May 2022, Published online: 01 Jul 2022

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Yu Wang, Zhenfeng Shao, Tao Lu, Lifeng Liu, Xiao Huang, Jiaming Wang, Kui Jiang & Kangli Zeng. (2023) A lightweight distillation CNN-transformer architecture for remote sensing image super-resolution. International Journal of Digital Earth 16:1, pages 3560-3579.
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Zhipeng Cao, Liangcun Jiang, Peng Yue, Jianya Gong, Xiangyun Hu, Shuaiqi Liu, Haofeng Tan, Chang Liu, Boyi Shangguan & Dayu Yu. (2023) A large scale training sample database system for intelligent interpretation of remote sensing imagery. Geo-spatial Information Science 0:0, pages 1-20.
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Yu Zhang, Yonghong Song, Hao Hu & Yuanlin Zhang. (2023) Mixed-former: multi-fusion remote sensing change detection. International Journal of Remote Sensing 44:11, pages 3507-3528.
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Decheng Wang, Xiangning Chen, Ningbo Guo, Hui Yi & Yinan Li. (2023) STCD: efficient Siamese transformers-based change detection method for remote sensing images. Geo-spatial Information Science 0:0, pages 1-20.
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Articles from other publishers (21)

Manel Khazri Khlifi, Wadii Boulila & Imed Riadh Farah. (2023) Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications — A comprehensive review. Computer Science Review 50, pages 100596.
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Haihan Lin, Xiaoqin Wang, Mengmeng Li, Dehua Huang & Ruijiao Wu. (2023) A Multi-Task Consistency Enhancement Network for Semantic Change Detection in HR Remote Sensing Images and Application of Non-Agriculturalization. Remote Sensing 15:21, pages 5106.
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Monika Kumari & Ajay Kaul. (2023) Deep learning techniques for remote sensing image scene classification: A comprehensive review, current challenges, and future directions. Concurrency and Computation: Practice and Experience 35:22.
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Hongya Zhang, Chi Xu, Zhongjie Fan, Wenzhuo Li, Kaimin Sun & Deren Li. (2023) Detection and Classification of Buildings by Height from Single Urban High-Resolution Remote Sensing Images. Applied Sciences 13:19, pages 10729.
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James Kapp & Jaco Kemp. (2023) Temporal Autocorrelation of Sentinel-1 SAR Imagery for Detecting Settlement Expansion. Geomatics 3:3, pages 427-446.
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You He, Hanchao Zhang, Xiaogang Ning, Ruiqian Zhang, Dong Chang & Minghui Hao. (2023) Spatial-Temporal Semantic Perception Network for Remote Sensing Image Semantic Change Detection. Remote Sensing 15:16, pages 4095.
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Zhan Zhang, Mi Zhang, Jianya Gong, Xiangyun Hu, Liangcun Jiang, Huan Zhou & Jiansi Yang. (2023) Luojia-AI: A Full-Stack Cloud Computing Infrastructure for Remote Sensing Intellignet Interpretation. Luojia-AI: A Full-Stack Cloud Computing Infrastructure for Remote Sensing Intellignet Interpretation.
Muhammad Salem, Ahmed Gomaa & Naoki Tsurusaki. (2023) Detection of Earthquake-Induced Building Damages Using Remote Sensing Data and Deep Learning: A Case Study of Mashiki Town, Japan. Detection of Earthquake-Induced Building Damages Using Remote Sensing Data and Deep Learning: A Case Study of Mashiki Town, Japan.
Deepak N. A.. (2023) Change detection - siamese based framework to detect changes over the earth’s surface (CD-CSNN). Multimedia Tools and Applications.
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Zhenfeng Shao, Tao Cheng, Huyan Fu, Deren Li & Xiao Huang. (2023) Emerging Issues in Mapping Urban Impervious Surfaces Using High-Resolution Remote Sensing Images. Remote Sensing 15:10, pages 2562.
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Andrea Codegoni, Gabriele Lombardi & Alessandro Ferrari. (2022) TINYCD: a (not so) deep learning model for change detection. Neural Computing and Applications 35:11, pages 8471-8486.
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Masoomeh Gomroki, Mahdi Hasanlou & Peter Reinartz. (2023) STCD-EffV2T Unet: Semi Transfer Learning EfficientNetV2 T-Unet Network for Urban/Land Cover Change Detection Using Sentinel-2 Satellite Images. Remote Sensing 15:5, pages 1232.
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Chengxi Li, Gang Li, Xueqian Wang & Pramod K. Varshney. (2023) A Copula-Based Method for Change Detection With Multisensor Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-15.
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Jindou Zhang, Zhenfeng Shao, Qing Ding, Xiao Huang, Yu Wang, Xuechao Zhou & Deren Li. (2023) AERNet: An Attention-Guided Edge Refinement Network and a Dataset for Remote Sensing Building Change Detection. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-16.
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Maoguo Gong, Tianqi Gao, Mingyang Zhang, Wei Li, Zhibin Wang & Dezhong Li. (2023) An M-Nary SAR Image Change Detection Based on GAN Architecture Search. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-18.
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Tzu-Hsuan Lin & Chia-Hsiang Lin. (2023) Hyperspectral Change Detection Using Semi-Supervised Graph Neural Network and Convex Deep Learning. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-18.
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Chahira Serief, Youcef Ghelamallah & Youcef Bentoutou. (2023) Deep-Learning-Based System for Change Detection Onboard Earth Observation Small Satellites. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16, pages 8115-8124.
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Ch. Rohitha, N. Vinay, G. Bharath Kumar & M. Suneetha. 2023. Proceedings of Third International Conference on Sustainable Expert Systems. Proceedings of Third International Conference on Sustainable Expert Systems 563 571 .
Radja Kheddam, Ahmed Tahraoui & Aichouche Belhadj Aissa. (2022) Supervised Classification of Multispectral Images: A Comparative Study. Supervised Classification of Multispectral Images: A Comparative Study.
Sicheng Shao, Zheng Lu, Bin Zhang & Xuetao Zhang. (2022) Feature Enhancement and Reweighting for Transformer-Based Change Detection. Feature Enhancement and Reweighting for Transformer-Based Change Detection.
Meiqi Hu, Chen Wu & Liangpei Zhang. (2022) HyperNet: Self-Supervised Hyperspectral Spatial–Spectral Feature Understanding Network for Hyperspectral Change Detection. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-17.
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