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Proceedings Paper

Adaptive small target detection based on evaluating complex degree of infrared image
Author(s): Qing-yu Hou; Wei Zhang; Chun-feng Wu; Qiu-ming Li; Li-hong Lu; Yi-ming Cao
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Paper Abstract

In order to detect small target in non-stationary complex background, this paper summarizes the previous representative results about the image complex degree metrics, and focuses on analyzing the disadvantage of weighted information entropy (WIE) in the application of adaptively detecting small target in frequency domain. We then introduce clustering and classification of feature vectors of pixels to the detection of small targets, and clustering degree of feature vectors of background pixels and the dispersion degree of feature vectors of target pixels outside the background clustering in feature space are described by constructed Statistical Distance Weighted Information Entropy (SDWIE). Then the adaptive small target detection algorithm based on SDWIE is proposed in this paper. The validity of this algorithm was demonstrated by actual experiments.

Paper Details

Date Published: 6 August 2009
PDF: 8 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738317 (6 August 2009); doi: 10.1117/12.836104
Show Author Affiliations
Qing-yu Hou, Harbin Institute of Technology (China)
Wei Zhang, Harbin Institute of Technology (China)
Chun-feng Wu, Harbin Institute of Technology (China)
Qiu-ming Li, Harbin Institute of Technology (China)
Li-hong Lu, Harbin Institute of Technology (China)
Yi-ming Cao, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Jeffery Puschell; Hai-mei Gong; Yi Cai; Jin Lu; Jin-dong Fei, Editor(s)

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