A small target detection method in infrared image sequences based on compressive sensing and background subtraction
暂无分享,去创建一个
[1] E.J. Candes. Compressive Sampling , 2022 .
[2] Nathan A. Goodman,et al. Direct reconstruction of difference images from optimal spatial-domain projections , 2008, Optical Engineering + Applications.
[3] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[4] Aswin C. Sankaranarayanan,et al. Compressive Sensing , 2008, Computer Vision, A Reference Guide.
[5] R.G. Baraniuk,et al. Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.
[6] Massimo Fornasier,et al. Compressive Sensing , 2015, Handbook of Mathematical Methods in Imaging.
[7] Guo Xu-jing. Detection of weak point moving targets in infrared image sequences , 2010 .
[8] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[9] Massimo Piccardi,et al. Background subtraction techniques: a review , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).
[10] Volkan Cevher,et al. Compressive Sensing for Background Subtraction , 2008, ECCV.
[11] S. Frick,et al. Compressed Sensing , 2014, Computer Vision, A Reference Guide.
[12] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[13] J. Tropp,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, Commun. ACM.