Infrared Technology, Volume. 46, Issue 3, 305(2024)
Infrared Dim Target Detection Based on Sparse Enhanced Reweighting and Mask Patch-tensor
[1] [1] HAN J, YU Y, LIANG K, et al. Infrared small-target detection under complex background based on subblock-level ratio-difference joint local contrast measure[J]. Optical Engineering, 2018, 57(10): 103105.
[2] [2] LIU M, HUANG Z, FAN Z, et al. Infrared dim target detection and tracking based on particle filter[C]// 36th Chinese Control Conference (CCC), 2017: 5372-5378.
[3] [3] WANG H X, DONG H, ZHOU Z Q. Review on dim small target detection technologies in infrared single frame images[J]. Laser & Optoelectronics Progress, 2019, 56(8): 080001.
[4] [4] LI H J, ZHANG P, WANG X W, et al. Infrared small-target detection algorithms: a survey[J]. J. Image Graph., 2020, 25(9): 15.
[5] [5] SUN B, ZHUGE W W, GAO Y X, et al. Infrared and visible image fusion based on latent low-rank representation[J]. Infrared Technology, 2022, 44(8): 853-862.
[6] [6] 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.
[7] [7] DAI Y, WU Y, SONG Y. Infrared small target and background separation via column-wise weighted robust principal component analysis[J]. Infrared Physics & Technology, 2016, 77: 421-430.
[8] [8] ZHANG L, PENG Z. Infrared small target detection based on partial sum of the tensor nuclear norm[J]. Remote Sensing, 2019, 11(4): 382.
[9] [9] WANG X, PENG Z, KONG D, et al. Infrared dim target detection based on total variation regularization and principal component pursuit[J]. Image and Vision Computing, 2017, 63: 1-9.
[10] [10] WANG X, PENG Z, KONG D, et al. Infrared dim and small target detection based on stable multisubspace learning in heterogeneous scene[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(10): 5481-5493.
[11] [11] ZHANG L, PENG L, ZHANG T, et al. Infrared small target detection via non-convex rank approximation minimization joint l 2, 1 norm[J]. Remote Sensing, 2018, 10(11): 1821.
[12] [12] SHI M, WANG H. Infrared dim and small target detection based on denoising autoencoder network[J]. Mobile Networks and Applications, 2020, 25: 1469-1483.
[13] [13] 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.
[14] [14] HOU Q, WANG Z, TAN F, et al. RISTDnet: Robust infrared small target detection network[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 1-5.
[15] [15] GOLDFARB D, QIN Z. Robust low-rank tensor recovery: models and algorithms[J]. SIAM Journal on Matrix Analysis and Applications, 2014, 35(1): 225-253.
[16] [16] DAI Y, WU Y. Reweighted infrared patch-tensor model with both nonlocal and local priors for single-frame small target detection[J]. IEEEJournal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(8): 3752-3767.
[17] [17] CANDES E J, WAKIN M B, BOYD S P. Enhancing sparsity by reweighted l1 minimization[J]. Journal of Fourier Analysis and Applications, 2008, 14(5): 877-905.
[18] [18] WANG H, ZHOU L, WANG L. Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019: 8509-8518.
[19] [19] ZHANG M, ZHANG R, YANG Y, et al. ISNET: Shape matters for infrared small target detection[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022: 877-886.
[20] [20] 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.
[21] [21] DAI Y, WU Y, SONG Y, et al. Non-negative infrared patch-image model: Robust target-background separation via partial sum minimization of singular values[J]. Infrared Physics & Technology, 2017, 81: 182-194.
[22] [22] TRAPNELL C, PACHTER L, SALZBERG S L. TopHat: discovering splice junctions with RNA-Seq[J]. Bioinformatics, 2009, 25(9): 1105-1111.
[23] [23] HAN J, LIANG K, ZHOU B, et al. Infrared small target detection utilizing the multiscale relative local contrast measure[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(4): 612-616.
[24] [24] WANG K, DU S, LIU C, et al. Interior attention-aware network for infrared small target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-13.
[25] [25] ZHANG T, WU H, LIU Y, et al. Infrared small target detection based on non-convex optimization with Lp-norm constraint[J]. Remote Sensing, 2019, 11(5): 559.
[26] [26] ZHANG T, PENG Z, WU H, et al. Infrared small target detection via selfregularized weighted sparse model[J]. Neurocomputing, 2021, 420: 124-148.
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SUN Shangqi, ZHANG Baohua, LI Yongxiang, LYU Xiaoqi, GU Yu, LI Jianjun. Infrared Dim Target Detection Based on Sparse Enhanced Reweighting and Mask Patch-tensor[J]. Infrared Technology, 2024, 46(3): 305
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Received: Feb. 23, 2023
Accepted: --
Published Online: Sep. 2, 2024
The Author Email: Baohua ZHANG (zbh_wj2004@imust.edu.cn)
CSTR:32186.14.