[1] [1] LI Z M, Mei L F, Song M. A survey on infrared weak small target detection method[C]//Advanced Materials Research, 2014, 945: 1558-1560.

[5] [5] BAI Xiangzhi, ZHOU Fugen. Analysis of new top-hat transformation and the application for infrared dim small target detection[J]. Pattern Recognition, 2010, 43(6): 2145-2156.

[6] [6] CL Philip CHEN, LI Hong, WEI Yantao, et al. A local contrast method for small infrared target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 52(1): 574-581.

[7] [7] HAN Jinhui, Saed Moradi, Iman Faramarzi, et al. Infrared small target detection based on the weighted strengthened local contrast measure[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 18(9): 1670-1674.

[8] [8] HOU X, ZHANG L. Saliency detection: a spectral residual approach[C]//2007 IEEE Conference on Computer Vision and Pattern Recognition of IEEE, 2007: 1-8.

[9] [9] DAI Yimian, WU Yiquan. Reweighted infrared patch-tensor model with both nonlocal and local priors for single-frame small target detection[J].

[10] [10] GAO Chenqiang, MENG Deyu, YANG Yi, et al. Infrared patch-image model for small target detection in a single image[J]. IEEE Transactions on Image Processing, 2013, 22(12): 4996-5009.

[11] [11] ZHANG Landan, PENG Lingbing, ZHANG Tianfang, et al. Infrared small target detection via non-convex rank approximation minimization joint l2, 1 norm[J]. Remote Sensing, 2018, 10(11): 1821

[12] [12] ZHANG Landan, PENG Zhenming. Infrared small target detection based on partial sum of the tensor nuclear norm[J]. Remote Sensing, 2019, 11(4): 382.

[13] [13] XU Yonghui, ZHANG J A. Real-time detection algorithm for small space targets based on max-median filter[J]. Journal of Information and Computational Science, 2014, 11(4): 1047-1055. DOI: 10.12733/ jics20102961.

[16] [16] WANG Huan, ZHOU Luping, WANG Lei. Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images[C]//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision(ICCV), 2019: 8508-8517. DOI: 10.1109/I CCV. 2019.00860.

[17] [17] DAI Y, WU Y, ZHOU F, et al. Asymmetric contextual modulation for infrared small target detection[C]//Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021: 950-959.

[18] [18] LI Boyang, XIAO Chao, WANG Longguang, et al. Dense nested attention network for infrared small target detection[J]. IEEE Transactions on Image Processing, 2022: DOI: 10.1109/TIP.2022.3199107.

[23] [23] CHEN G, WANG W, TAN S. IRST Former: a hierarchical vision transformer for infrared small target detection[J]. Remote Sensing, 2022, 14(14): 3258.

[25] [25] Jonnalagadda A, WANG W Y, Manjunath B S, et al. Foveater: foveated transformer for image classification[J/OL]. arXiv preprint arXiv: 2105.14173, ( https://doi.org/10.48550/arXiv.2105.14173)

[26] [26] HAN K, XIAO A, WU E, et al. Transformer in transformer[J]. Advances in Neural Information Processing Systems, 2021, 34: 15908-15919.

[27] [27] Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]//International Conference on Medical image Computing and Computer-assisted Intervention, 2015: 234-241.

[28] [28] WANG X, YU K, DONG C, et al. Recovering realistic texture in image super-resolution by deep spatial feature transform[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018: 606-615.

[29] [29] DAI Y, WU Y, ZHOU F, et al. Attentional local contrast networks for infrared small target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(11): 9813-9824.

[30] [30] HAN J, Moradi S, Faramarzi I, et al. Infrared small target detection based on the weighted strengthened local contrast measure[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 18(9): 1670-1674.

[31] [31] CHEN C L P, LI H, WEI Y, et al. A local contrast method for small infrared target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 52(1): 574-581.

[32] [32] GAO C, MENG D, YANG Y, et al. Infrared patch-image model for small target detection in a single image[J]. IEEE Transactions on Image Processing, 2013, 22(12): 4996-5009.

[33] [33] ZHANG L, PENG L, ZHANG T, et al. Infrared small target detection via non-convex rank approximation minimization joint l2, 1 norm[J]. Remote Sensing, 2018, 10(11): 1821.

[34] [34] ZHANG L, PENG Z. Infrared small target detection based on partial sum of the tensor nuclear norm[J]. Remote Sensing, 2019, 11(4): 382.

[35] [35] SUN Y, YANG J, An W. Infrared dim and small target detection via multiple subspace learning and spatial-temporal patch-tensor model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 59(5): 3737-3752.