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Proceedings Paper

Wavelet de-noising based on higher order statistics for infrared target detection
Author(s): Shu-man Wang; Jian-hui Han; Wei Wang
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Paper 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.

Paper Details

Date Published: 14 November 2007
PDF: 4 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903W (14 November 2007); doi: 10.1117/12.743637
Show Author Affiliations
Shu-man Wang, Naval Academy of Armament (China)
Naval Aeronautical Engineering Institute (China)
Jian-hui Han, Naval Aeronautical Engineering Institute (China)
Wei Wang, Naval Aeronautical Engineering Institute (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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