1. Single-frame (25 papers) [Priors]
1.1 Consistency of backgrounds (10 papers) [Local priors]
A) Wavelet based methods
D. Gregoris, S. Yu, S. Tritchew, L. Sevigny "Detection of dim targets in FLIR imagery using multiscale transforms", Infrared Technology, October 1994
G. Boccignone, A. Chianese and A. Picariello, "Small target detection using wavelets", IEEE International Conference on Pattern Recognition, pages 1776-1778, 1998.
B) Filter based methods
S. Deshpande, M. Er, R. Venkateswarlu, P. Chan, "Max-mean and max-median filters for detection of small targets", Signal and Data Processing of Small Target, pages 74-84, 1999.
T. Soni, J. Zeidler, W. Ku, "Performance evaluation of 2-D adaptive prediction filters for detection of small objects in image data", IEEE Transactions on Image Processing, Volume 2, No. 3, pages 327-340, July 1993.
J. Li, Z. Shen, T. Lan, "Detection of Spot Target in Infrared Clutter with Morphological Filter", IEEE National Aerospace and Electronics Conference, pages 168-172, 1996.
H. Askar, X. Li, Z. Li, "Background Clutter Suppression and Dim Moving Point Targets Detection using Nonparametric Method", IEEE International Conference on Communications, Circuits and Systems and West Sino Expositions, pages 982-986, 2002.
M. Shirvaikar, M. Trivedi, "A neural network filter to detect small targets in high clutter backgrounds", IEEE Transactions on Neural Networks, Volume 6, no. 1, pages 252-257, January 1995.
P. Ffrench, J. Zeidler, W Ku, "Enhanced detectability of small objects in correlated clutter using an improved 2-D adaptive lattice algorithm", IEEE Transactions on Image Processing, Volume 6, No. 3, pages 383-397, March 1997.
V. Tom, T. Peli, M. Leung, J. Bondaryk, "Morphology-based algorithm for point target detection in infrared backgrounds", Signal and Data Processing of Small Targets, pages 2-12, 1993.
Y. Gu, C. Wang, B. Liu, Y. Zhang, "Kernel-Based Nonparametric Regression Method for Clutter Removal in Infrared Small-Target Detection Applications", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 7, pages 469-473, 2010.
1.2 Saliency of targets (4 papers) [Local priors]
C. Chen, H. Li, Y. Wei, T. Xia, Y. Tang, "A Local Contrast Method for Small Infrared Target Detection", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 52, pages 574–581, 2014.
J. Han, J. Ma, B. Zhou, F. Fan, K. Liang, Y. Fang, "A Robust Infrared Small Target Detection Algorithm based on Human Visual System", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 11, pages 2168–2172, 2014.
X. Dong, X. Huang, Y. Zheng, L. Shen, S. Bai, "Infrared dim and small target detecting and tracking method inspired by Human Visual System", Infrared Physics and Technology, Volume 62, pages 100-109, 2014.
J. Han, K. Liang, B. Zhou, X. Zhu, J. Zhao, L. Zhao, "Infrared Small Target Detection utilizing the Multiscale Relative Local Contrast Measure", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 15, pages 612–616, 2018.
1.3 Low-rank (11 papers) [Complex scenes]
1.3.1 RPCA matrix
C. Gao, D. Meng, Y. Yang, Y. Wang, X. Zhou, A. Hauptmann, “Infrared Patch-Image Model for Small Target Detection in a Single Image”, IEEE Transactions on Image Processing, Volume 22, No. 12, December 2013.
Y. He, M. Li, J. Zhang, Q. An, “Small infrared target detection based on low-rank and sparse representation,” Infrared Physics and Technology, Volume 68, pages 98-109, 2015.
C. Wang, S. Qin, “Adaptive detection method of infrared small target based on target-background separation via robust principal component analysis”, Infrared Physics and Technology, Volume 69, pages 12 -135, 2015.
J Fan, Y. Gao, Z. Wu, L. Li, “Infrared Dim Small Target Detection Technology based on RPCA”, International Conference on Electronic Information Technology and Intellectualization, ICEITI 2017, 2017.
Y. Dai, Y. Wu, Y. Song, J. Guo, “Non-negative infrared patch-image model: Robust target-background separation via partial sum minimization of singular values,” Infrared Physics and Technology, Volume 81, pages 182-194, 2017.
J. Gao, C. Wen, M. Liu, “Robust Small Target Co-Detection from Airborne Infrared Image Sequences”, MDPI Sensors, 2017.
L. Zhang, L. Peng, T. Zhang, S. Cao, Z. Peng, “Infrared small target detection via non-convex rank approximation minimization joint l2,1 norm”, MDPI Remote Sensing, 2018.
T. Zhang, H. Wu, Y. Liu, L. Peng, C. Yang, Z. Peng “Infrared Small Target Detection based on Non-Convex Optimization with Lp-Norm Constraint”, MDPI Remote Sensing, 2019.
1.3.2 RPCA Tensor
Y. Dai, Y. Wu, Y. Song, “Infrared small target and background separation via column-wise weighted robust principal component analysis”, Infrared Physics and Technology, Volume 77, pages 421-430, 2016.
Y. Dai, Y. Wu, “Reweighted Infrared Patch-Tensor Model with Both Non-Local and Local Priors for Single-Frame Small Target Detection”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pages 3752-3767, 2017.
L. Zhang, Z. Peng, "Infrared Small Target Detection Based on Partial Sum of the Tensor Nuclear Norm", MDPI Remote Sensing, 2019.
2. Sequential frames (7 papers)
S. Blostein, H. Richardson, "A sequential detection approach to target tracking", IEEE Transactions on Aerospace and Electronic Systems , Volume 30, pages 197-212, 1994,
X. Fan, Z. Xu, J. Zhang, Y. Huang, Z. Peng, "Infrared Dim and Small Targets Detection Method based on Local Energy Center of Sequential Images", Hindawi Mathematical Problems in Engineering, 2017.
Z. Peng, Q. Zhang, J. Wang, Q. Zhang, "Dim target detection based on nonlinear multifeature fusion by Karhunen-Loeve transform", Optical Engineering, Volume 43, pages 2954–2958, 2004.
B. Wang, W. Xu, M. Zhao, H. Wu, "Antivibration pipeline-filtering algorithm for maritime small target detection", Optical Engineering, 2014.
D. Liu, L. Cao, Z. Li, T. Liu, P. Che, "Infrared Small Target Detection based on Flux Density and Direction Diversity in Gradient Vector Field", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 11, pages 2528-2554, 2018.
C. Gao, L. Wang, Y. Xiao, Q. Zhao, D.Meng, "Infrared small-dim target detection based on Markov random field guided noise modeling", Pattern Recognition, Volume 76, pages 463-475, 2018.
X. Fan, Z. Xu, J. Zhang, Y. Huang, Z. Peng, "Dim small targets detection based on self-adaptive caliber temporal-spatial filtering", Infrared Physics and Technology, Volume 85, pages 465–477, 2017.
3. Survey
X. Bai, S. Zhang, B. Du, Z. Liu, T. Jin, B. Xue, F. Zhou, "Survey on dim small target detection in clutter background: wavelet, inter-frame and filter based algorithms", Procedia Engineering, pages 479-483, 2011. [wavelet, inter-frame and filter]