Wavelet de-noising based on higher order statistics for infrared target detection

Shu-man Wang; Jian-hui Han; Wei Wang

doi:10.1117/12.743637

14 November 2007 Wavelet de-noising based on higher order statistics for infrared target detection

Shu-man Wang, Jian-hui Han, Wei Wang

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67903W (2007) https://doi.org/10.1117/12.743637
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper a infrared target detection algorithm is presented. The algorithm combines wavelet transformation and high order statistics for signal detection. The method can remove noise interference and enhance infrared target region pixel. The result shows that the method performs better than traditional infrared picture processing method in the low SNR case.

Citation Download Citation

Shu-man Wang, Jian-hui Han, and Wei Wang "Wavelet de-noising based on higher order statistics for infrared target detection", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903W (14 November 2007); https://doi.org/10.1117/12.743637

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