Dim target detection based on nonlinear multifeature fusion by Karhunen-Loeve transform

Zhenming Peng; Qiheng Zhang; Jingru Wang; Qin Ping Zhang

doi:10.1117/1.1809612

1 December 2004 Dim target detection based on nonlinear multifeature fusion by Karhunen-Loeve transform

Zhenming Peng, Qiheng Zhang, Jingru Wang, Qin Ping Zhang

Author Affiliations +

Optical Engineering, Vol. 43, Issue 12, (December 2004). https://doi.org/10.1117/1.1809612

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.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Zhenming Peng, Qiheng Zhang, Jingru Wang, and Qin Ping Zhang "Dim target detection based on nonlinear multifeature fusion by Karhunen-Loeve transform," Optical Engineering 43(12), (1 December 2004). https://doi.org/10.1117/1.1809612

Published: 1 December 2004

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