Point target detection in infrared over-sampling scanning images using deep convolutional neural networks

LIN Liang-Kui; WANG Shao-You; TANG Zhong-Xing

doi:10.11972/j.issn.1001-9014.2018.02.015

[1] Latry C, Rouge B. In-flight commissioning of SPOT5 the quincunx sampling mode[C]. Proceedings of SPIE, 2003, 4881:189-199.

[2] Larsen M F, Tansock Jr J J., Sorenson G, et al. Impact of the SPIRIT III sensor design on algorithm for background removal, object detection, and point source extraction[J]. Proceedings of SPIE, 1996, 2759:194-204.

[3] Lomheim T S, Milne E L, Kwok Lt J D, et al. Performance/sizing relationships for a short-wave/mid-wave infrared scanning point-source detection space sensor[C]. Proceedings of IEEE Aerospace Conference, 1999:113-138.

[4] Lawrie D G, Lomheim T S. Advanced electro-optical space-based systems for missile surveillance[R]. Aerospace Report, TR-2001(8556)-1,2011.

[8] Tartakovsky A G, Brown J. Adaptive spatial-temporal filtering methods for clutter removal and target tracking[J]. IEEE Transactions on aerospace and electronic systems, 2008, 44(4):1522-1537.

[9] Gao C Q, Meng D Y, 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.

[10] Deshpande. Max-mean and max-median filters for detection of small targets[J]. Proc. SPIE, 1999, 3809:74-83.

[11] Tom V T, Peli T, Leung M, et al. Morphology-based algorithm for point target detection in infrared backgrounds[J]. Proc. SPIE, 1993, 1954:25-32.

[12] Gao Y, Liu R M, Yang J. Small target detection using two-dimensional least mean square (TDLMS) filter based on neighborhood analysis[J]. International Journal of Infrared and Millimeter Waves, 2008, 29(2):188-200.

[14] Zheng C Y, Li H. Small infrared target detection based on low-rank and sparse matrix decomposition[J]. Applied Mechanics and Materials, 2013, 239-240: 214-218.

[15] Li L, Li H, Li T,et al. Infrared small target detection in compressive domain[J]. Electronics Letters, 2014, 50(7):510-512.

[17] Girshick R, Donahue J, Darrell T, et al. Region-based convolutional networks for accurate object detection and segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016,38(1):142-158.

[18] Girshick R. Fast R-CNN[C]. Computer vision and pattern recognition, 2015.

[19] Ren S, He K, Girshick R, et al. Faster R-CNN: Towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6):1137-1149.

[20] Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, real-time object detection[C]. CVPR,2016.

[21] Goodfellow I, Bengio Y, Courville A. Deep Learning [M]. The MIT Press,2016.

[22] Vedaldi A, Lenc K, Gupta A. MatConvNet convolutional neural networks[EB/OL].http://www.vlfeat.org/matconvnet/matconvnet-manual.pdf,2017.