Visible-infrared image patch matching based on attention mechanism
Author:
Funder
Leading Technology of Jiangsu Basic Research Plan
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02953-w.pdf
Reference25 articles.
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2. Melekhov, I., Kannala, J., Rahtu, E.: Image patch matching using convolutional descriptors with euclidean distance. In: Asian Conference on Computer Vision (ACCV), pp. 638–653 (2016)
3. Hanif, M.S.: Patch match networks: Improved two-channel and siamese networks for image patch matching. Pattern Recogn. Lett. 120, 54–61 (2019)
4. Wang, S., Quan, D., Liang, X., Ning, M., Guo, Y., Jiao, L.: A deep learning framework for remote sensing image registration. ISPRS J. Photogramm. Remote. Sens. 145, 148–164 (2018)
5. Ye, Y., Shan, J., Bruzzone, L., Shen, L.: Robust registration of multimodal remote sensing images based on structural similarity. IEEE Trans. Geosci. Remote Sens. 55(5), 2941–2958 (2017)
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