Dictionary Attention-Weighted Cross-Domain Contrastive Learning for Remote Sensing Image Change Detection
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China Science Publishing & Media Ltd.
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https://engine.scichina.com/doi/pdf/7CCFA1A072CC480880F2F9D17DFDF1F3
Reference25 articles.
1. Chen, H., Qi, Z., Shi, Z.: Remote sensing image change detection with transformers. IEEE Transactions on Geo-science and Remote Sensing 60(2021), 1-14 (2021).
2. Samadi, F., Akbarizadeh, G., Kaabi, H.: Change detection in SAR images using deep belief network: a new training approach based on morphological images. IET Image Processing 13(12), 2255-2264 (2019).
3. Fang, S., Li, K., Shao, J., Li, Z.: SNUNet-CD: A densely connected Siamese network for change detection of VHR images. IEEE Geoscience and Remote Sensing Letters 19, 1-5 (2021).
4. Bandara, W.G.C., Patel, V.M.: A transformer-based siamese network for change detection. In: IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium IEEE, pp. 207-210 (2022).
5. Tang, X., et al.: Wnet: W-shaped hierarchical network for remote sensing image change detection. IEEE Transac-tions on Geoscience and Remote Sensing 61, 1-14 (2023).
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