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Optical Engineering

Dim target detection based on nonlinear multifeature fusion by Karhunen-Loeve transform
Author(s): Zhenming Peng; Qiheng Zhang; Jingru Wang; Qin Ping Zhang
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Paper Abstract

Dim target detection and tracking is a key technique for imaging tracking systems and is a challenging and leading-edge subject. A new strategy for dim target detection is presented. Various nonlinear features that are representative of dim targets are extracted from image sequences. Then, an information fusion algorithm by Karhunen-Loeve (K-L) transform is used to obtain an integrated feature. As a correlation degree, using an integrated feature calculates a target's position coordinates. Experimental results demonstrate the proposed method is feasible and effective.

Paper Details

Date Published: 1 December 2004
PDF: 5 pages
Opt. Eng. 43(12) doi: 10.1117/1.1809612
Published in: Optical Engineering Volume 43, Issue 12
Show Author Affiliations
Zhenming Peng, Univ. of Electronic Science and Technology of Chin (China)
Qiheng Zhang, Institute of Optics and Electronics (China)
Jingru Wang, Institute of Optics and Electronics (China)
Qin Ping Zhang, Institute of Optics and Electronics (China)

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