Small Infrared Target Detection Algorithm Based on Frequency Domain Saliency Analysis

SUN Ze-jun; DING Meng; WANG Jie; WANG Yue-dong

doi:10.3969/j.issn.1671-637x.2017.10.001

[2] NGUYEN D T, LI W, OGUNBONA P O. Human detection from images and videos: a survey［J］. Pattern Recognition, 2016, 51(1): 148-175.

[3] HAN J, ZHANG D, CHENG G, et al. Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning［J］. IEEE Tran-sactions on Geoscience & Remote Sensing, 2015, 53(6): 3325-3337.

[4] AGARWAL S, AWAN A, ROTH D. Learning to detect objects in images via a sparse, part-based representation［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2004, 26(11): 1475-1490.

[5] ZHAO R, OUYANG W, LI H, et al. Saliency detection by multi-context deep learning［C］//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015: 1265-1274.

[6] WANG Y L, DAI J M, SUN X G, et al. An efficient me-thod of small targets detection in low SNR［C］//Journal of Physics: Conference Series, 2006, 48(1): 427.

[7] DESHPANDE S D, MENG H E, VENKATESWARLU R, et al. Max-mean and max-median filters for detection of small targets［C］//SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, Inter-national Society for Optics and Photonics, 1999: 74-83.

[8] ASIF M, NASRABADI N M. Kernel wavelet-Reed-Xiaoli: an anomaly detection for forward-looking infrared imagery［J］. Applied Optics, 2011, 50(17): 2744-2751.

[9] SUN S G, KWAK D M, JANG W B, et al. Small target detection using center-surround difference with locally adaptive threshold［C］//Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, IEEE, 2005: 402-407.

[10] ZHAO J, CHEN J, CHEN Y, et al. Sparse-representation-based automatic target detection ininfrared imagery［J］. Infrared Physics & Technology, 2013, 56(1): 85-92.

[11] CHEN C L P, LI H, WEI Y, et al. A local contrast me-thod for small infrared target detection［J］. IEEE Tran-sactions on Geoscience & Remote Sensing, 2014, 52(1): 574-581.

[12] FELZENSZWALB P F, GIRSHICK R B, DAVID M A, et al. Object detection with discriminatively trained part-based models［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2010, 32(9): 1627-1645.

[13] LI H, WEI Y, LI L, et al. Infrared moving target detection and tracking based on tensor locality preserving projection［J］. Infrared Physics & Technology, 2010, 53(2): 77-83.

[14] SHAO Z, LI D, ZHU X. Adaptive target detection based on improved genetic algorithm in infrared images［J］. Geomatics & Information Science of Wuhan University, 2011, 36(5): 535-539.

[15] BORJI A, CHENG M M, JIANG H, et al. Salient object detection: a benchmark［J］. IEEE Transactions on Ima-ge Processing, 2015, 24(12): 5706-5722.

[16] HOU X, HAREL J, KOCH C. Image signature: highlighting sparse salient regions［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(1): 194-201.

[17] NEUBECK A, VAN GOOL L. Efficient non-maximum suppression［C］//International Conference on Pattern Recognition, IEEE, 2006: 850-855.