• Infrared and Laser Engineering
  • Vol. 51, Issue 4, 20210393 (2022)
Jinhui Han1, Yantao Wei2、*, Zhenming Peng3, Qian Zhao1, Yaohong Chen4, Yao Qin5, and Nan Li1
Author Affiliations
  • 1College of Physics and Telecommunication Engineering, Zhoukou Normal University, Zhoukou 466001, China
  • 2Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China
  • 3School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  • 4Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
  • 5Northwest Institute of Nuclear Technology, Xi’an 710024, China
  • show less
    DOI: 10.3788/IRLA20210393 Cite this Article
    Jinhui Han, Yantao Wei, Zhenming Peng, Qian Zhao, Yaohong Chen, Yao Qin, Nan Li. Infrared dim and small target detection: A review[J]. Infrared and Laser Engineering, 2022, 51(4): 20210393 Copy Citation Text show less
    References

    [1] Fei Zhou, Yiquan Wu, Yimian Dai, et al. Graph-regularized Laplace approximation for detecting small infrared target against complex backgrounds. IEEE Access, 7, 85354-85371(2019).

    [2] Xiangyang Ren, Jie Wang, Tianlei Ma, et al. Review on infrared dim and small target detection technology. Journal of Zhengzhou University (Natural Science Edition), 52, 1-21(2020).

    [3] Xiangzhi Bai, Yanguang Bi. Derivative entropy-based contrast measure for infrared small-target detection. IEEE Transactions on Geoscience & Remote Sensing, 56, 2452-2466(2018).

    [4] Junhong Li, Ping Zhang, Xiaowei Wang, et al. Infrared small-target detection algorithms: A survey. Journal of Image and Graphics, 25, 1739-1753(2020).

    [5] He Deng, Xianping Sun, Xin Zhou. A multiscale fuzzy metric for detecting small infrared targets against chaotic cloudy/sea-sky backgrounds. IEEE Transactions on Cybernetics, 49, 1694-1707(2019).

    [6] Kim S. Target attributebased false alarm rejection in small infrared target detection [C]Proceedings of SPIE, 2012, 8537: 85370G.

    [7] Chenqiang Gao, Tianqi Zhang, Qiang Li. Small infrared target detection using sparse ring representation. Aerospace & Electronic Systems Magazine IEEE, 27, 21-30(2012).

    [8] Rol Miezianko. IEEE OTCBVS WS Series Bench, Terravic Research Infrared Database[DBOL]. [20040101](2018313). http:vciplokstate.gpbvsbenchindex.html.

    [9] Changan Wei, Shouda Jiang. Infrared small target image background reduction using morphological reconstruction operators. Infrared Technology, 30, 713-716(2008).

    [10] T W Bae, Fei Zhang, I S Kweon. Edge directional 2D LMS filter for infrared small target detection. Infrared Physics & Technology, 55, 137-145(2012).

    [11] S Kim, Y Yang, J Lee, et al. Small target detection utilizing robust methods of the human visual system for IRST. Journal of Infrared, Millimeter and Terahertz Waves, 30, 994-1011(2009).

    [12] S Aghaziyarati, S Moradi, H Talebi. Small infrared target detection using absolute average difference weighted by cumulative directional derivatives. Infrared Physics & Technology, 101, 78-87(2019).

    [13] M Nasiri, S Chehresa. Infrared small target enhancement based on variance difference. Infrared Physics & Technology, 82, 107-119(2017).

    [14] S S Rawat, S K Verma, Y Kumar. Infrared small target detection based on non-convex triple tensor factorization. IET Image Process, 15, 556-570(2021).

    [15] Bingwei Hui, Zhiyong Song, Qi Wang, et al. A benchmark for dim or small aircraft targets detection and tracking. Aero Weaponry, 26, 56-59(2019).

    [16] Dai Yimian, Zhou Fei, Wu Yiquan, et al. Asymmetric contextual modulation f infrared small target detection [DBOL]. [ 20200930]. https:arxiv.gabs2009.14530.

    [17] Weiping Yang, Zhenkang Shen. Small target detection and preprocessing technology in infrared image sequences. Infrared and Laser Engineering, 27, 23-28(1998).

    [18] Deshpe S D, Meng H E, Venkateswarlu R, et al. Maxmean maxmedian filters f detection of small targets [C]Proceedings of SPIE, 1999, 3809: 7483.

    [19] Biyin Zhang, Tianxu Zhang, Zhiguo Cai, et al. Fast new small-target detection algorithm based on a modified partial differential equation in infrared clutter. Optical Engineering, 46, 106401(2007).

    [20] Yuan Cao, Ruiming Liu, Jie Yang. Small target detection using two-dimensional least mean square (TDLMS) filter based on neighborhood analysis. International Journal of Infrared and Millimeter Waves, 29, 188-200(2008).

    [21] Hao Ding, Huijie Zhao. Adaptive method for the detection of infrared small target. Optical Engineering, 54, 113107(2015).

    [22] Pingyue Lv, Shengli Sun, Changqing Lin, et al. Space moving target detection and tracking method in complex background. Infrared Physics & Technology, 91, 107-118(2018).

    [23] Yixuan Zhang, Ling Li, Yunhong Xin. Infrared small target detection based on adaptive double-layer TDLMS filter. Acta Photonica Sinica, 48, 0910001(2019).

    [24] Nong Yu, Changyong Wu, Xinyi Tang, et al. Adaptive background perception algorithm for infrared target detection. Acta Electronica Sinica, 33, 200-204(2005).

    [25] Xiangzhi Bai, Fugen Zhou. Analysis of new top-hat transformation and the application for infrared dim small target detection. Pattern Recognition, 43, 2145-2156(2010).

    [26] Xiangzhi Bai, Fugen Zhou, Yongchun Xie, et al. New top-hat transformation and application on infrared small target detection. Journal of Data Acquisition and Processing, 24, 643-649(2009).

    [27] Yuan Liu, Xinyi Tang, Zheng Li. A new top hat local contrast based algorithm for infrared small target detection. Infrared Technology, 37, 544-552(2015).

    [28] Lizhen Deng, Jieke Zhang, Guoxia Xu, et al. Infrared small target detection via adaptive M-estimator ring top-hat transformation. Pattern Recognition, 112, 107729(2021).

    [29] Ruitao Lu, Xiaogang Yang, Weipeng Li, et al. Robust infrared small target detection via multidirectional derivative-based weighted contrast measure. IEEE Geoscience and Remote Sensing Letters, 19, 1-5(2020).

    [30] Yanguang Bi, Junzhang Chen, Heng Sun, et al. Fast detection of distant, infrared targets in a single image using multiorder directional derivatives. IEEE Transactions on Aerospace and Electronic Systems, 56, 2422-2436(2020).

    [31] Xiangping Chen, Zhicheng Wang, Jinwen Tian. Fusion detection of small infrared target based on local entropy and local gradient strength. Computer & Digital Engineering, 34, 1-3, 19(2006).

    [32] Mingming Fan, Shaoqing Tian, Kai Liu, et al. Infrared small target detection algorithm based on gradient direction consistency and eigendecomposition. Infrared and Laser Engineering, 49, 0126001(2020).

    [33] Hamdulla Askar, Wencheng Wu. Point target detection technology based on multi-scale local gradient. Journal of University of Electronic Science and Technology of China, 48, 893-903(2019).

    [34] Hong Zhang, Lei Zhang, Ding Yuan, et al. Infrared small target detection based on local intensity and gradient properties. Infrared Physics & Technology, 89, 88-96(2018).

    [35] Depeng Liu, Zhengzhou Li, Jingjie Zeng, et al. Infrared dim small target detection based on multi-scale local contrast and multi-scale gradient coherence. Acta Armamentarii, 39, 1526-1535(2018).

    [36] Lu Wang, Mingna Liu, Jie Yang. Infrared dim small target detection based on contrast and gradient distribution. Aerospace Shanghai, 36, 89-93(2019).

    [37] Yaohong Chen, Gaopeng Zhang, Yingjun Ma, et al. Small infrared target detection based on fast adaptive masking and scaling with iterative segmentation. IEEE Geoscience and Remote Sensing Letters, 19, 7000605(2021).

    [38] Lili Dong, Bin Wang, Ming Zhao, et al. Robust infrared maritime target detection based on visual attention and spatiotemporal filtering. IEEE Transactions on Geoscience and Remote Sensing, 55, 3037-3050(2017).

    [39] L Itti, C Koch, E Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 1254-1259(1998).

    [40] Xiaopeng Shao, Hua Fan, Guangxu Lu, et al. An improved infrared dim and small target detection algorithm based on the contrast mechanism of human visual system. Infrared Physics & Technology, 55, 403-408(2012).

    [41] Xin Wang, Guofang Lv, Lizhong Xu. Infrared dim target detection based on visual attention. Infrared Physics & Technology, 55, 513-521(2012).

    [42] Xiabin Dong, Xinsheng Huang, Yongbin Zheng, et al. Infrared dim and small target detecting and tracking method inspired by human visual system. Infrared Physics & Technology, 62, 100-109(2014).

    [43] Jinhui Han, Yong Ma, Jun Huang, et al. An infrared small target detecting algorithm based on human visual system. IEEE Geoscience and Remote Sensing Letters, 13, 452-456(2016).

    [44] Kai Xie, Keren Fu, Tao Zhou, et al. Small target detection based on accumulated center-surround difference measure. Infrared Physics & Technology, 67, 229-236(2014).

    [45] Yantao Wei, Xinge You, Hong Li. Multiscale patch-based contrast measure for small infrared target detection. Pattern Recognition, 58, 216-226(2016).

    [46] Shengda Pan, Su Zhang, Ming Zhao, et al. Infrared small target detection based on double-layer local contrast measure. Acta Photonica Sinica, 49, 0110003(2020).

    [47] C L P Chen, Hong Li, Yantao Wei, et al. A local contrast method for small infrared target detection. IEEE Transactions on Geoscience and Remote Sensing, 52, 574-581(2014).

    [48] Jinhui Han, Yong Ma, Bo Zhou, et al. A robust infrared small target detection algorithm based on human visual system. IEEE Geoscience and Remote Sensing Letters, 11, 2168-2172(2014).

    [49] Yao Qin, Biao Li. Effective infrared small target detection utilizing a novel local contrast method. IEEE Geoscience and Remote Sensing Letters, 13, 1890-1894(2016).

    [50] Jinhui Han, Kun Liang, Bo Zhou, et al. Infrared small target detection utilizing the multiscale relative local contrast measure. IEEE Geoscience and Remote Sensing Letters, 15, 612-616(2018).

    [51] Jinhui Hsn, S Moradi, I Faramarzi, et al. A local contrast method for infrared small target detection utilizing a tri-layer window. IEEE Geoscience and Remote Sensing Letters, 17, 1822-1826(2020).

    [52] Jinhui Han, Chengyin Liu, Yuchun Liu, et al. Infrared small target detection utilizing the enhanced closest-mean background estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 645-662(2021).

    [53] Jinhui Han, S Moradi, I Faramarzi, et al. Infrared small target detection based on the weighted strengthen local contrast measure. IEEE Geoscience and Remote Sensing Letters, 18, 1670-1674(2020).

    [54] Jun Cai, Yuanyuan Huang, Pengze Li, et al. Infrared small target detection algorithm using visual contrast mechanism. Systems Engineering and Electronics, 41, 2416-2423(2019).

    [55] Xuewei Guan, Zhenming Peng, Suqi Huang, et al. Gaussian scale-space enhanced local contrast measure for small infrared target detection. IEEE Geoscience and Remote Sensing Letters, 17, 327-331(2020).

    [56] Siwei Duan, Zhonghua Wang, Zheng Ye. An infrared small object detection algorithm based on spatial weighted local contrast. Laser & Infrared, 50, 1200-1206(2020).

    [57] Yuwen Chen, Yunhong Xin. An efficient infrared small target detection method based on visual contrast mechanism. IEEE Geoscience and Remote Sensing Letters, 13, 962-966(2016).

    [58] Wenqing Xu, Min Wang. Infrared small target detection algorithm based on adaptive morphology filter. Laser & Infrared, 47, 108-113(2017).

    [59] Yao Qin, L Bruzzone, Chengqiang Gao, et al. Infrared small target detection based on facet kernel and random walker. IEEE Transactions on Geoscience and Remote Sensing, 57, 7104-7118(2019).

    [60] Chaoqun Xia, Xiaorun Li, Liaoying Zhao. Infrared small target detection via modified random walks. Remote Sensing, 10, 2004(2018).

    [61] Zheng Cui, Jingli Yang, Shouda Jiang, et al. An infrared small target detection algorithm based on high-speed local contrast method. Infrared Physics & Technology, 76, 474-481(2016).

    [62] Zheng Cui, Jingli Yang, Junbao Li, et al. An infrared small target detection framework based on local contrast method. Measurement, 91, 405-413(2016).

    [63] He Deng, Xianping Sun, Maili Liu, et al. Small infrared target detection based on weighted local difference measure. IEEE Transactions on Geoscience and Remote Sensing, 54, 4204-4214(2016).

    [64] He Deng, Xianping Sun, Maili Liu, et al. Infrared small-target detection using multiscale gray difference weighted image entropy. IEEE Transactions on Aerospace and Electronic Systems, 52, 60-72(2016).

    [65] He Deng, Xianping Sun, Maili Liu, et al. Entropy-based window selection for detecting dim and small infrared targets. Pattern Recognition, 61, 66-77(2017).

    [66] Yuwen Chen, Bin Song, Dianjun Wang, et al. An effective infrared small target detection method based on the human visual attention. Infrared Physics & Technology, 95, 128-135(2018).

    [67] Yuwen Chen, Bin Song, Xiaojiang Du, et al. Infrared small target detection through multiple feature analysis based on visual saliency. IEEE Access, 7, 38996-39004(2019).

    [68] Peng Du, Hamdulla Askar. Infrared small target detection using homogeneity-weighted local contrast measure. IEEE Geoscience and Remote Sensing Letters, 17, 514-518(2020).

    [69] Bin Xiong, Xinhan Huang, Min Wang. Local gradient field feature contrast measure for infrared small target detection. IEEE Geoscience and Remote Sensing Letters, 18, 553-557(2020).

    [70] Jinhui Han, Sibang Liu, Gang Qin, et al. A local contrast method combined with adaptive background estimation for infrared small target detection. IEEE Geoscience and Remote Sensing Letters, 16, 1442-1446(2019).

    [71] L Yang, J Yang, K Yang. Adaptive detection for infrared small target under sea-sky complex background. Electronics Letters, 40, 1083-1085(2004).

    [72] Shengxiang Qi, Jie Ma, Hang Li, et al. Infrared small target enhancement via phase spectrum of quaternion fourier transform. Infrared Physics & Technology, 62, 50-58(2014).

    [73] Yafei Shi, Yantao Wei, Yao Huang, et al. High-boost-based multiscale local contrast measure for infrared small target detection. IEEE Geoscience & Remote Sensing Letters, 15, 33-37(2018).

    [74] Gregis D J, Yu S K, Tritchew S. Wavelet transfmbased filtering f the enhancement of dim targets in FLIR images [C]Proceedings of SPIE, 1994, 2242: 573583.

    [75] Yiquan Wu, Zijuan Luo, Wenyi Wu. A method of small target detection in infrared image based on nonsubsampled contourlet transform. Journal of Image and Graphics, 14, 477-481(2009).

    [76] Xiangyu Kong, Lei Liu, Yunsheng Qian, et al. Automatic detection of sea-sky horizon line and small targets in maritime infrared imagery. Infrared Physics & Technology, 76, 185-199(2016).

    [77] He Wang, Yunhong Xin. Infrared small target detection based on DT-CWT. Laser & Infrared, 50, 1145-1152(2020).

    [78] Sheng Zheng, Jian Liu, Jinwen Tian. Research of SVM-based infrared small object segmentation and clustering method. Signal Processing, 515-519(2005).

    [79] Xiabin Dong, Xinsheng Huang, Yongbin Zheng, et al. A novel infrared small moving target detection method based on tracking interest points under complicated background. Infrared Physics & Technology, 65, 36-42(2014).

    [80] Yiquan Wu, Yang Zhou, Yunlin Long. Small target detection in hyperspectral remote sensing image based on adaptive parameter SVM. Acta Optica Sinica, 35, 0928001(2015).

    [81] Zhou Weina. Research on infrared target recognition based on neural wk [D]. Shanghai: Shanghai Maritime University, 2006. (in Chinese)

    [82] Qi Ma, Bin Zhu, Zhengdong Cheng, et al. Detection and recognition method of fast low-altitude unmanned aerial vehicle based on dual channel. Acta Optica Sinica, 39, 1210002(2019).

    [83] Qingyu Hou, Zhipeng Wang, Fanjiao Tan, et al. RISTDnet: Robust infrared small target detection network. IEEE Geoscience and Remote Sensing Letters, 19, 7000805(2022).

    [84] Yimian Dai, Yiquan Wu, Fei Zhou, et al. Attentional local contrast networks for infrared small target detection. IEEE Transactions on Geoscience and Remote Sensing, 59, 9813-9824(2021).

    [85] Jiajia Zhao, Zhengyuan Tang, Jie Yang, et al. Infrared small target detection using sparse representation. Journal of Systems Engineering and Electronics, 22, 897-904(2011).

    [86] Han Jinhui. An adaptive algithm f infrared small target detection based on image sparse representation [D]. Wuhan: Huazhong University of Science Technology, 2013. (in Chinese)

    [87] Yujie He, Min Li, Jinli Zhang, et al. Small infrared target detection based on low-rank and sparse representation. Infrared Physics & Technology, 68, 98-109(2015).

    [88] Minjie Wan, Guohua Gu, Weixian Qian, et al. Robust infrared small target detection via non-negativity constraint-based sparse representation. Applied Optics, 55, 7604-7612(2016).

    [89] Xiaomin Zhang, Kan Ren, Minjie Wan, et al. Infrared small target tracking based on sample constrained particle filtering and sparse representation. Infrared Physics & Technology, 87, 72-82(2017).

    [90] Zhen Shi, Changan Wei, Ping Fu, et al. A parallel search strategy based on sparse representation for infrared target tracking. Algorithms, 8, 529-540(2015).

    [91] Hanlin Qin, Jiao Han, Xiang Yan, et al. Infrared small moving target detection using sparse representation-based image decomposition. Infrared Physics & Technology, 76, 148-156(2016).

    [92] Depeng Liu, Zhengzhou Li, Bing Liu, et al. Infrared small target detection in heavy sky scene clutter based on sparse representation. Infrared Physics & Technology, 85, 13-31(2017).

    [93] E J Candès, X Li, Y Ma, et al. Robust principal component analysis?. Journal of the ACM, 58, 11(2011).

    [94] Lin Zhouchen, Chen Minming, Ma Yi. The augmented lagrange multiplier method f exact recovery of crupted lowrank matrices [DBOL]. (20100926)[20210201]. http:arxiv.gabs1009.5055.

    [95] Baohua Zhang, Yanxian Liu, Doudou Jiao, et al. Dim and small infrared target background suppression based on improved RPCA and guided filter. Journal of Inner Mongolia University of Science and Technology, 35, 269-273(2016).

    [96] Junliang Fan, Yongming Gao, Zhihuan Wu, et al. Detection algorithm of single frame infrared small target based on RPCA. Journal of Ordnance Equipment Engineering, 39, 147-151(2018).

    [97] Tianmei Dou, Yunhong Xin. Infrared small target detection based on low rank sparse decomposition in Gaussian space. Computer Science and Application, 10, 960-970(2020).

    [98] Chenqiang Gao, Deyu Meng, Yi Yang, et al. Infrared patch-image model for small target detection in a single image. IEEE Transactions on Image Processing, 22, 4996-5009(2013).

    [99] Yimian Dai, Yiquan Wu, Yu Song, et al. Non-negative infrared patch-image model: Robust target-background separation via partial sum minimization of singular values. Infrared Physics & Technology, 81, 182-194(2017).

    [100] Xiaoyang Wang, Zhenming Peng, Dehui Kong, et al. Infrared dim and small target detection based on stable multisubspace learning in heterogeneous scene. IEEE Transactions on Geoscience and Remote Sensing, 55, 5481-5493(2017).

    [101] Xiaoyang Wang, Zhenming Peng, Dehui Kong, et al. Infrared dim target detection based on total variation regularization and principal component pursuit. Image and Vision Computing, 63, 1-9(2017).

    [102] Chuanyun Wang, Shiyin Qin. Adaptive detection method of infrared small target based on target-background separation via robust principal component analysis. Infrared Physics & Technology, 69, 123-135(2015).

    [103] Wei Li, Mingjing Zhao, Xiaoya Deng, et al. Infrared small target detection using local and nonlocal spatial information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 3677-3689(2019).

    [104] Yimian Dai, Yiquan Wu, Yu Song. Infrared small target and background separation via column-wise weighted robust principal component analysis. Infrared Physics & Technology, 77, 421-430(2016).

    [105] Houzhang Fang, Min Chen, Xiyang Liu, et al. Infrared small target detection with total variation and reweighted L1 regularization. Mathematical Problems in Engineering, 1-9(2020).

    [106] Hu Zhu, Haopeng Ni, Shiming Liu, et al. TNLRS: Target-aware non-local low-rank modeling with saliency filtering regularization for infrared small target detection. IEEE Transactions on Image Processing, 29, 9546-9558(2020).

    [107] Tianfang Zhang, Hao Wu, Yuhan Liu, et al. Infrared small target detection based on non-convex optimization with Lp-norm constraint. Remote Sensing, 11, 559(2019).

    [108] Fei Zhou, Yiquan Wu, Yimian Dai, et al. Detection of small target using schatten 1/2 quasi-norm regularization with reweighted sparse enhancement in complex infrared scenes. Remote Sensing, 11, 2058(2019).

    [109] Yimian Dai. Wu Yiquan. Reweighted infrared patch-tensor model with both nonlocal and local priors for single-frame small target detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 3752-3767(2017).

    [110] Xiangyue Zhang, Qinghai Ding, Haibo Luo, et al. Infrared small target detection based on an image-patch tensor model. Infrared Physics & Technology, 99, 55-63(2019).

    [111] Landan Zhang, Zhenming Peng. Infrared small target detection based on partial sum of the tensor nuclear norm. Remote Sensing, 11, 382(2019).

    [112] Xuewei Guan, Landan Zhang, Siqi Huang, et al. Infrared small target detection via non-convex tensor rank surrogate joint local contrast energy. Remote Sensing, 12, 1520(2020).

    [113] Bin Wang, Wenhai Xu, Ming Zhao, et al. Antivibration pipeline-filtering algorithm for maritime small target detection. Optical Engineering, 53, 113109(2014).

    [114] Tianlei Ma, Zelin Shi, Jian Yin, et al. Dim air target detection based on radiation accumulation and space inversion. Infrared and Laser Engineering, 44, 3500-3506(2015).

    [115] Tianlei Ma, Zelin Shi, Jian Yin, et al. Rectilinear-motion space inversion-based detection approach for infrared dim air targets with variable velocities. Optical Engineering, 55, 033102(2016).

    [116] Bin Sun, Yingjie Li, Guosheng Chen, et al. Moving target segmentation using Markov random field-based evaluation metric in infrared videos. Optical Engineering, 57, 013106(2018).

    [117] Kang Lou, Zhiyu Zhu, Huilin Ge. Infrared target detection and tracking method based on target motion feature. Journal of Nanjing University of Science and Technology, 43, 455-461(2019).

    [118] Li Zhongmin, Wu Haochen. A survey of maneuvering target tracking using Kalman filter [C]Proceedings of 2015 4th International Conference on Mechatronics, Materials, Chemistry Computer Engineering, 2015.

    [119] Xiaomin Zhang, Kan Ren, Minjie Wan, et al. Infrared small target tracking based on sample constrained particle filtering and sparse representation. Infrared Physics & Technology, 87, 72-82(2017).

    [120] I S Reed, R M Gagliardi, H M Shao. Application of three-dimensional filtering to moving target detection. IEEE Transactions on Aerospace and Electronic Systems,, 19, 898-905(1983).

    [121] I S Reed, R M Gagliardi, L B Stotts. Optical moving target detection with 3-D matched filtering. IEEE Transactions on Aerospace and Electronic Systems, 24, 327-336(1988).

    [122] J H Choi, S A Rajala. Three-dimensional location estimation of trajectories of point targets using a projection-based transformation method. Optical Engineering, 34, 933-939(1995).

    [123] Y Barniv. Dynamic programming solution for detecting dim moving targets. IEEE Transactions on Aerospace and Electronic Systems, 21, 144-156(1985).

    [124] Y Barniv, O Kella. Dynamic programming solution for detecting dim moving targets part II: analysis. IEEE Transactions on Aerospace and Electronic Systems, 23, 776-788(1987).

    [125] Silverman J, Caefer C E, Disalvo S, et al. Tempal filtering f point target detection in staring IR imagery: II. Recursive variance filter [C]Proceedings of SPIE, 1998, 3373: 4453.

    [126] Sun Xiechang, Zhang Tianxu, Li Meng. Moving point target detection using tempal variance filter in IR imagery [C]Proceedings of SPIE, 2007, 6786: 67861Z.

    [127] Bin Wu, Hongbing Ji. Improved power-law-detector-based moving small dim target detection in infrared images. Optical Engineering, 47, 010503(2008).

    [128] T W Bae. Small target detection using bilateral filter and temporal cross product in infrared images. Infrared Physics & Technology, 54, 403-411(2011).

    [129] Delian Liu, Jianqi Zhang, Weike Dong. Temporal profile based small moving target detection algorithm in infrared image sequences. Int J Infrared Milli Waves, 28, 373-381(2007).

    [130] Delian Liu, Zhaohui Li, Xiaorui Wang, et al. Moving target detection by nonlinear adaptive filtering on temporal profiles in infrared image sequences. Infrared Physics & Technology, 73, 41-48(2015).

    [131] S Kim, S G Sun, K T Kim. Highly efficient supersonic small infrared target detection using temporal contrast filter. Electronics Letters, 50, 81-83(2014).

    [132] Fengyang Hsieh, Chinchuan Han, Naishen Wu, et al. A novel approach to the detection of small objects with low contrast. Signal Processing, 86, 71-83(2006).

    [133] Jingjing Qu, Yunhong Xin. Combined continuous frame difference with background difference method for moving object detection. Acta Photonica Sinica, 43, 0710002(2014).

    [134] Liu Jin, Ji Hongbing. An improved robust estimation algithm f small IR target detection [C]IEEE Symposium on Industrial Electronics & Applications, 2009: 394398.

    [135] Jinyan Gao, Zaiping Lin, Wei An. Infrared small target detection using a temporal variance and spatial patch contrast filter. IEEE Access, 7, 32217-32226(2019).

    [136] Yansheng Li, Yongjun Zhang, Jingang Yu, et al. A novel spatio-temporal saliency approach for robust dim moving target detection from airborne infrared image sequences. Information Science, 369, 548-563(2016).

    [137] Lizhen Deng, Hu Zhu, Chao Tao, et al. Infrared moving point target detection based on spatial–temporal local contrast filter. Infrared Physics & Technology, 76, 168-173(2016).

    [138] Peng Du, Hamdulla Askar. Infrared moving small-target detection using spatial–temporal local difference measure. IEEE Geoscience and Remote Sensing Letters, 17, 1817-1821(2020).

    [139] Dongdong Pang, Tao Shan, Pengge Ma, et al. A novel spatiotemporal saliency method for low-altitude slow small infrared target detection. IEEE Geoscience and Remote Sensing Letters, 19, 7000705(2022).

    [140] M Uzair, R Brinkworth, A Finn. A bio-inspired spatiotemporal contrast operator for small and low-heat-signature target detection in infrared imagery. Neural Comput & Applic, 33, 7311-7324(2021).

    [141] Yang Sun, Jungang Yang, Yunli Long, et al. Infrared small target detection via spatial-temporal total variation regularization and weighted tensor nuclear norm. IEEE Access, 7, 56667-56682(2019).

    [142] Ping Zhang, Lingyi Zhang, Xiaoyang Wang, et al. Edge and corner awareness-based spatial-temporal tensor model for infrared small-target detection. IEEE Transactions on Geoscience and Remote Sensing, 59, 10708-10724(2021).

    [143] Hu Zhu, Shiming Liu, Lizhen Deng, et al. Infrared small target detection via low-rank tensor completion with Top-Hat regularization. IEEE Transactions on Geoscience and Remote Sensing, 58, 1004-1016(2020).

    [144] Yanguang Bi, Xiangzhi Bai, Ting Jin, et al. Multiple feature analysis for infrared small target detection. IEEE Geoscience and Remote Sensing Letters, 14, 1333-1337(2017).

    [145] Zetao Jiang, Qi Jiang, Yongsong Huang, et al. Infrared and low-light-level visible light enhancement image fusion method based on latent low-rank representation and composite filtering. Acta Photonica Sinica, 49, 0410001(2020).

    [146] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies f accurate object detection semantic segmentation [C]Proceedings of the IEEE Computer Society Conference on Computer Vision Pattern Recognition, 2014: 580–587.

    [147] Redmon J, Divvala S, Girshick R, et al. You only look once: unified, realtime object detection [C]Proceedings of the IEEE Computer Society Conference on Computer Vision Pattern Recognition, 2016: 779–788.

    CLP Journals

    [1] Ji Li, Haisa Jia, Zhou Li. Research on energy calculation method of weak and small targets based on Rayleigh distribution[J]. Infrared and Laser Engineering, 2023, 52(2): 20220408

    Jinhui Han, Yantao Wei, Zhenming Peng, Qian Zhao, Yaohong Chen, Yao Qin, Nan Li. Infrared dim and small target detection: A review[J]. Infrared and Laser Engineering, 2022, 51(4): 20210393
    Download Citation