Dim Target Detection in the Air Based on Information Fusion

DENG Jianxun; XIONG Zhongyang; DENG Xin

doi:10.3969/j.issn.1671-637x.2018.02.002

[3] MA M, LIANG J, GUO M, et al. SAR image segmentation based on artificial bee colony algorithm［J］. Applied Soft Computing, 2011, 11(8): 5205-5214.

[4] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. Image-net classification with deep convolutional neural networks［C］//Ad

[5] JI S W, XU W, YANG M, et al. 3D convolutional neural networks for human action recognition［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(1): 221-231.

[6] SUN Y, WANG X G, TANG X O. Deep learning face representation from predicting 10 000 classes［C］//IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2014: 1891-1898.

[7] CHEN C L P, LI H, WEI Y T, et al. A local contrast method for small infrared target detection ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2013, 52(1): 574-581.

[9] HORN B K P, SCHUNCK B G. Determining optical flow［J］. Artificial Intelligence, 1981, 17(1-3): 185-203.

[10] ISHIDA T, KORF R E. Moving-target search: a real-time search for changing goals［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1995, 17(6): 609-619.

[11] WANG K, LIN L, LU J B, et al. PISA: pixelwise image saliency by aggregating complementary appearance contrast measures with edge-preserving coherence［J］. IEEE Transactions on Image Processing, 2015, 24(10): 3019-3033.

[12] HUANG Z Y, HE F Z, CAI X T, et al. Efficient random saliency map detection［J］. Science China Information Sciences, 2011, 54(6): 1207-1217.