[1] [1] Jiayi Ma, Xingyu Jiang, Aoxiang Fan, et al. Image Matching from Handcrafted to Deep Features: A Survey[J]. International Journal of Computer Vision, 2020, 129(1): 1-57.

[2] [2] David G. Lowe. Distinctive Image Features from Scale-Invariant Keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

[3] [3] Yang Zhou, Zhen Han, Zeng Dou, et al. Edge Consistency Feature Extraction Method for Multi-Source Image Registration[J]. Remote Sensing, 2023, 15(20).

[4] [4] Wenping Ma, Jun Zhang, Yue Wu, et al. A Novel Two-Step Registration Method for Remote Sensing Images Based on Deep and Local Features[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(7): 4834-4843.

[5] [5] Jae-Hyun Park, Woo-Jeoung Nam, Seong-Whan Lee. A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching[J]. Remote Sensing, 2020, 12(3): 465.

[7] [7] Liang C, Dong Y, Zhao C, et al. A Coarse-to-Fine Feature Match Network Using Transformers for Remote Sensing Image Registration[J]. Remote Sensing, 2023, 15(13): 3243.

[8] [8] Chen J, Xie H, Zhang L, et al. SAR and Optical Image Registration Based on Deep Learning with Co-Attention Matching Module[J]. Remote Sensing, 2023, 15(15): 3879.

[9] [9] Tan M, Le Q. Efficientnetv2: Smaller models and faster training[C]//International conference on machine learning. PMLR, 2021: 10096-10106.

[10] [10] Woo S, Park J, Lee J Y, et al. Cbam: Convolutional block attention module[C]//Proceedings of the European conference on computer vision (ECCV). 2018: 3-19.

[11] [11] Zhang Q L, Yang Y B. Sa-net: Shuffle attention for deep convolutional neural networks[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 2235-2239.

[12] [12] Hou Q, Zhou D, Feng J. Coordinate attention for efficient mobile network design[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2021: 13713-13722.

[13] [13] Dai Y, Gieseke F, Oehmcke S, et al. Attentional feature fusion[C]//Proceedings of the IEEE/CVF winter conference on applications of computer vision. 2021: 3560-3569.

[14] [14] Jiang L, Zhou Y. Efficient channel attention feature fusion for lightweight single image super resolution[C]//Journal of Physics: Conference Series. IOP Publishing, 2021, 1828(1): 012020.

[15] [15] Stergiou A, Poppe R, Kalliatakis G. Refining activation downsampling with SoftPool[C]//Proceedings of the IEEE/CVF international conference on computer vision. 2021: 10357-10366.

[17] [17] Fang Y, Hu J, Du C, et al. SAR-optical image matching by integrating Siamese U-Net with FFT correlation[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 1-5.

[18] [18] Rocco I, Arandjelovic R, Sivic J. Convolutional neural network architecture for geometric matching[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 6148-6157.

[19] [19] Gong X, Liu Y, Yang Y. Robust Stepwise Correspondence Refinement for Low-Altitude Remote Sensing Image Registration[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 30(1): 1-5.

[20] [20] Yao Y X, Zhang Y J, Wan J, et al. Multi-Modal Remote Sensing Image Matching Considering Co-Occurrence Filter[J]. IEEE Transactions on Image Processing, 2022, 31: 2584-2597.