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Proceedings Paper

Dim-small-targets detection based on higher-order cumulant and wavelet method
Author(s): Gang Liu; Rong-hui Wang; Qi Wang
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Paper Abstract

A novel two-dimensional (2-D) adaptive filtering algorithm to enhance 2-D signals of small spatial extent embedded in white Gaussian noise and a variety of outstanding modern digital signal processing methods are combined in background segmentation. The coefficients of the adaptive filter converge to a special 2-D slice of the fourth-order cumulant function of the input signal. The proposed algorithm is called the 2-D cumulant adaptive enhancer (2DCAE). And the methods in background segmentation is combining the wavelet energy transformation, data integration and threshold segmentation.

Paper Details

Date Published: 22 October 2010
PDF: 5 pages
Proc. SPIE 7658, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, 76585S (22 October 2010); doi: 10.1117/12.867519
Show Author Affiliations
Gang Liu, Air-force Aviation Univ. (China)
Rong-hui Wang, Jilin Architectural and Civil Engineering Institute (China)
Qi Wang, DNMC Shenzhen (China)


Published in SPIE Proceedings Vol. 7658:
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology
Yadong Jiang; Bernard Kippelen; Junsheng Yu, Editor(s)

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