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International Journal of Remote Sensing Volume 41, 2020 - Issue 12
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Articles

Change detection in very high-resolution images based on ensemble CNNs

Xinlong ZhangChina Academy of Electronics and Information Technology, China Electronics Technology Group Corporation, Beijing, ChinaCorrespondence[email protected]
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,
Rui FanChina Academy of Electronics and Information Technology, China Electronics Technology Group Corporation, Beijing, ChinaView further author information
,
Lei MaChina Academy of Electronics and Information Technology, China Electronics Technology Group Corporation, Beijing, ChinaView further author information
,
Xiaohan LiaoInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, ChinaView further author information
&
Xiuwan ChenSchool of Earth and Space Sciences, Peking University, Beijing, ChinaView further author information
Pages 4757-4779 | Received 17 Sep 2019, Accepted 17 Dec 2019, Published online: 02 Mar 2020

Citations (10)

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Read on this site (3)

Hong Fang, Peijun Du & Xin Wang. (2022) A novel unsupervised multiple change detection method for VHR remote sensing imagery using CNN with hierarchical sampling. International Journal of Remote Sensing 43:13, pages 5006-5024.
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Chenchen Wang, Weimin Su & Hong Gu. (2021) A joint change detection method on complex-valued polarimetric synthetic aperture radar images based on feature fusion and similarity learning. International Journal of Remote Sensing 42:13, pages 4864-4881.
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Huaqiao Xing, Linye Zhu, Dongyang Hou & Tao Zhang. (2021) Integrating change magnitude maps of spectrally enhanced multi-features for land cover change detection. International Journal of Remote Sensing 42:11, pages 4284-4308.
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Articles from other publishers (7)

Chafle Pratiksha Vasantrao & Neha Gupta. (2023) Wader hunt optimization based UNET model for change detection in satellite images. International Journal of Information Technology 15:3, pages 1611-1623.
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Gang Jiang & Quanshun Zheng. (2022) Remote Sensing Recognition and Classification of Forest Vegetation Based on Image Feature Depth Learning. Mobile Information Systems 2022, pages 1-11.
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Rui Huang, Ruofei Wang, Yuxiang Zhang, Yan Xing, Wei Fan & Kai Leung Yung. (2021) Selecting change image for efficient change detection. IET Signal Processing 16:3, pages 327-339.
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Zhizhe Liu, Luo Sun & Qian Zhang. (2022) High Similarity Image Recognition and Classification Algorithm Based on Convolutional Neural Network. Computational Intelligence and Neuroscience 2022, pages 1-10.
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Dawei Wen, Xin Huang, Francesca Bovolo, Jiayi Li, Xinli Ke, Anlu Zhang & Jon Atli Benediktsson. (2021) Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions. IEEE Geoscience and Remote Sensing Magazine 9:4, pages 68-101.
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Yasir Afaq & Ankush Manocha. (2021) Analysis on change detection techniques for remote sensing applications: A review. Ecological Informatics 63, pages 101310.
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Yu Chen, Zutao Ming & Massimo Menenti. (2020) Change Detection Algorithm for Multi-Temporal Remote Sensing Images Based on Adaptive Parameter Estimation. IEEE Access 8, pages 106083-106096.
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