Paper
14 November 2007 Wavelet de-noising based on higher order statistics for infrared target detection
Shu-man Wang, Jian-hui Han, Wei Wang
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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Cited by 3 scholarly publications.
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KEYWORDS
Infrared radiation

Wavelets

Signal to noise ratio

Detection and tracking algorithms

Infrared detectors

Wavelet transforms

Target detection

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