Stephen J Searle.Background modeling and target segmentation via modified Kalman filtering[A].Proc SPIE 5428,Signal and Data Processing of Small Target 2004[C].SPIE,2004,13-24.
[2]
朱斌,樊祥,马东辉,等.核最小二乘算法检测红外点目标[J].光电工程,2009,36(9):29-34. Bin Zhu,Xiang Fan,Donghui Ma,et al.Infrared point target detection based on kernel least squares algorithm[J].Opto-Electronic Engineering,2009,36(9):29-34.(in Chinese)
[3]
Bin Zhu,Xiang Fan,Donghui Ma,et al.Sequence IR images background estimation algorithm based on kernel exponential weighted least squares[A].Proc SPIE 7495,MIPPR 2009:Automatic Target Recognition and Image Analysis[C].SPIE,2009,doi:10.1117/12.832993.
[4]
Soni T,Zeidler J R,Ku H.Performance evaluation of 2-D adaptive prediction filters for detection of small objects in image data[J].IEEE Trans on Image Processing,1993,2(3):327-340.
[5]
V N Vapnik.Statistical Learning Theory[M].New York:John Wiley & Sons,Inc.1998.
[6]
Yaakov Engel,Shie Mannor,Ron Meir.The kernel recursive least-squares algorithm[J].IEEE Trans on Signal Processing,2004,52(8):2275-2285.
[7]
Bin Zhu,Zhengdong Cheng,Xiang Fan,et al.Online sparse IR background estimation via KRLS[A].2010 IEEE International Conference on Information and Automation(ICIA)[C].IEEE,2010.1123-1127.
[8]
John Shawe-Taylor,Nello Cristianini.Kernel Methods for Pattern Analysis[M].Cambridge University Press,2004.
[9]
Marcelo R P Ferreira,Francisco de A T de Carvalho.Kernel-based hard clustering methods in the feature space with automatic variable weighting[J].Pattern Recognition,2014,47:3082-3095.
