Publisher
Springer Nature Singapore
Reference30 articles.
1. Zhang, M., Liu, Z., Feng, J., Liu, L., Jiao, L.: Remote sensing image change detection based on deep multi-scale multi-attention siamese transformer network. Remote Sens. 15(3), 842 (2023)
2. Bai, T., et al.: Deep learning for change detection in remote sensing: a review. Geo-Spatial Inf. Sci. 26, 262–288 (2022)
3. Cheng, G., Xie, X., Han, J., Guo, L., Xia, G.S.: Remote sensing image scene classification meets deep learning: challenges, methods, benchmarks, and opportunities. IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens. 13, 3735–3756 (2020)
4. Jiang, F., Gong, M., Zheng, H., Liu, T., Zhang, M., Liu, J.: Self-supervised global-local contrastive learning for fine-grained change detection in VHR images. IEEE Trans. Geosci. Remote Sens. 61, 1–13 (2023)
5. Zhu, X.X., et al.: Deep learning in remote sensing: a comprehensive review and list of resources. IEEE Geosci. Remote Sens. Maga. 5(4), 8–36 (2017)