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Optical high-resolution imagery and OSM data are two important data sources of change detection (CD).
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C. Zhang, P. Yue, D. Tapete, L. Jiang, B. Shangguan, L. Huang, and G. Liu, “A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images,” ISPRS J. Photogramm. Remote Sens. , vol. 166, no. June, pp. 183–200, 2020
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2020
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2020
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H. Chen and Z. Shi, “A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,” Remote Sens. , vol. 12, no. 10, 2020
2020
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Z. Zheng, Y. Zhong, J. Wang, A. Ma, and L. Zhang, “Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters,” Remote Sens. Environ. , vol. 265, p. 112636, 2021
2021
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H. Guo, Q. Shi, A. Marinoni, B. Du, and L. Zhang, “Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images,” Remote Sens. Environ. , vol. 264, p. 112589, 2021
2021
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T. Liu, L. Yang, and D. Lunga, “Change detection using deep learning approach with object-based image analysis,” Remote Sens. Environ. , vol. 256, p. 112308, 2021
2021
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2022
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S. Tian, Y. Zhong, Z. Zheng, A. Ma, X. Tan, and L. Zhang, “Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban application,” ISPRS J. Photogramm. Remote Sens. , vol. 193, pp. 164–186, 2022
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H. Chen, J. Song, C. Wu, B. Du, and N. Yokoya, “Exchange means change: An unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange,” ISPRS J. Photogramm. Remote Sens. , vol. 206, pp. 87–105, 2023
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J. Xia, N. Yokoya, B. Adriano, and C. Broni-Bediako, “Openearthmap: A benchmark dataset for global high-resolution land cover mapping,” in 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2023, pp. 6243–6253
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H. Chen, N. Yokoya, and M. Chini, “Fourier domain structural relationship analysis for unsupervised multimodal change detection,” ISPRS J. Photogramm. Remote Sens. , vol. 198, pp. 99–114, 2023
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