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Remote-sensing (RS) Change Detection (CD) aims to detect "changes of interest" from co-registered bi-temporal images.
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2019
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You, Y., Cao, J., Zhou, W.: A survey of change detection methods based on remote sensing images for multi-source and multi-objective scenarios. Remote Sensing 12
2020
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Zhang, C., Yue, P., Tapete, D., Jiang, L., Shangguan, B., Huang, L., Liu, G.: A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing 166
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Zhang, Y., Zhang, S., Li, Y., Zhang, Y.: Coarse-to-fine satellite images change detection framework via boundary-aware attentive network. Sensors 20
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2021
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Chen, H., Wu, C., Du, B., Zhang, L., Wang, L.: Change detection in multisource vhr images via deep siamese convolutional multiple-layers recurrent neural network. IEEE Transactions on Geoscience and Remote Sensing 58
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Mittal, S., Tatarchenko, M., Brox, T.: Semi-supervised semantic segmentation with high-and low-level consistency. IEEE transactions on pattern analysis and machine intelligence 43
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Wiratama, W., Sim, D.: Fusion network for change detection of high-resolution panchromatic imagery. Applied Sciences 9
2019
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Chen, J., Yuan, Z., Peng, J., Chen, L., Huang, H., Zhu, J., Liu, Y., Li, H.: Dasnet: Dual attentive fully convolutional siamese networks for change detection in high-resolution satellite images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14
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2021
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Diakogiannis, F.I., Waldner, F., Caccetta, P.: Looking for change? roll the dice and demand attention. Remote Sensing 13
2021
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2021
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Mañas, O., Lacoste, A., Giro-i Nieto, X., Vazquez, D., Rodriguez, P.: Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 9414–9423 (2021)
2021
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Qu, X., Gao, F., Dong, J., Du, Q., Li, H.C.: Change detection in synthetic aperture radar images using a dual-domain network. IEEE Geoscience and Remote Sensing Letters 19
2021
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2021
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Song, K., Cui, F., Jiang, J.: An efficient lightweight neural network for remote sensing image change detection. Remote Sensing 13
2021
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2021
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Zhang, H., Lin, M., Yang, G., Zhang, L.: Escnet: An end-to-end superpixel-enhanced change detection network for very-high-resolution remote sensing images. IEEE Transactions on Neural Networks and Learning Systems (2021)
2021
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Zhang, Y., Fu, L., Li, Y., Zhang, Y.: Hdfnet: Hierarchical dynamic fusion network for change detection in optical aerial images. Remote Sensing 13
2021
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2022
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2022
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Chen, H., Shi, Z.: A spatial-temporal attention-based method and a new dataset for remote sensing image change detection. Remote Sensing 12
2072
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