[1] Zhang X Y, Leng C C, Hong Y M et al. Multimodal remote sensing image registration methods and advancements: a survey[J]. Remote Sensing, 13, 5128(2021).

[2] Ma J Y, Jiang X Y, Fan A X et al. Image matching from handcrafted to deep features: a survey[J]. International Journal of Computer Vision, 129, 23-79(2021).

[3] Zhang W N, Zhao Y Q. An improved SIFT algorithm for registration between SAR and optical images[J]. Scientific Reports, 13, 6346(2023).

[4] Feng R T, Shen H F, Bai J J et al. Advances and opportunities in remote sensing image geometric registration: a systematic review of state-of-the-art approaches and future research directions[J]. IEEE Geoscience and Remote Sensing Magazine, 9, 120-142(2021).

[5] Chen Y, Zhang Q, Li W J et al. Consistent registration of remote sensing images in parametric synthesized spatial transformation network[J]. Journal of Image and Graphics, 26, 2964-2980(2021).

[6] Park J H, Nam W J, Lee S W. A two-stream symmetric network with bidirectional ensemble for aerial image matching[J]. Remote Sensing, 12, 465-484(2020).

[7] Chen J X, Xie H T, Zhang L et al. SAR and optical image registration based on deep learning with co-attention matching module[J]. Remote Sensing, 15, 3879(2023).

[8] Li B J, Guan D D, Zheng X L et al. SD-CapsNet: a Siamese dense capsule network for SAR image registration with complex scenes[J]. Remote Sensing, 15, 1871(2023).

[9] Liu Q, Cao L, Tian S et al. Structure-aware multiscale hybrid network for change detection of remote sensing images[J]. Laser & Optoelectronics Progress, 61, 1428008(2024).

[10] Khan A, Rauf Z, Sohail A et al. A survey of the vision transformers and their CNN-transformer based variants[J]. Artificial Intelligence Review, 56, 2917-2970(2023).

[11] Wu H L, Huang P, Zhang M et al. CMTFNet: CNN and multiscale transformer fusion network for remote-sensing image semantic segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 2004612(2023).

[12] Fan Y B, Wang F, Wang H P. A transformer-based coarse-to-fine wide-swath SAR image registration method under weak texture conditions[J]. Remote Sensing, 14, 1175(2022).

[13] Rocco I, Arandjelovic R, Sivic J. Convolutional neural network architecture for geometric matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41, 2553-2567(2019).

[14] Woo S, Debnath S, Hu R H et al. ConvNeXt V2: co-designing and scaling ConvNets with masked autoencoders[C], 16133-16142(2023).

[15] Wang W, Chen Y, Wang J H et al. Optical remote sensing image registration based on attention and feature fusion[J]. Laser Journal, 44, 174-181(2023).

[16] Ma X, Dai X Y, Bai Y et al. Rewrite the stars[C], 5694-5703(2024).

[17] Katharopoulos A, Vyas A, Pappas N et al. Transformers are RNNs: fast autoregressive transformers with linear attention[EB/OL]. https://arxiv.org/abs/2006.16236v3

[18] Cai H, Li J Y, Hu M Y et al. EfficientViT: multi-scale linear attention for high-resolution dense prediction[EB/OL]. https://arxiv.org/abs/2205.14756v6

[19] Wang W H, Xie E Z, Li X et al. Pyramid vision transformer: a versatile backbone for dense prediction without convolutions[C], 548-558(2021).

[20] Han Q, Fan Z J, Dai Q et al. On the connection between local attention and dynamic depth-wise convolution[EB/OL]. https://arxiv.org/abs/2106.04263

[21] Chen P, Bao B Y, Chen X. Remote sensing image-matching network based on multiscale feature fusion and importance ranking loss[J]. Laser & Optoelectronics Progress, 61, 1828003(2024).

[22] Yao Q F, Ning Y X, Du S W. Change detection of optical and synthetic aperture radar remote sensing images based on a domain adaptive neural network[J]. Laser & Optoelectronics Progress, 61, 1828001(2024).

[23] Yang L X, Zhang R Y, Li L D et al. SimAM: a simple, parameter-free attention module for convolutional neural networks[C], 11863-11874(2021).

[24] Lindenberger P, Sarlin P E, Pollefeys M. LightGlue: local feature matching at light speed[C], 17581-17592(2023).

[25] Gong X Y, Liu Y Y, Yang Y. Robust stepwise correspondence refinement for low-altitude remote sensing image registration[J]. IEEE Geoscience and Remote Sensing Letters, 18, 1736-1740(2021).

[26] Yao Y X, Zhang Y J, Wan Y et al. Multi-modal remote sensing image matching considering co-occurrence filter[J]. IEEE Transactions on Image Processing, 31, 2584-2597(2022).