1 December 2004 Dim target detection based on nonlinear multifeature fusion by Karhunen-Loeve transform
Author Affiliations +
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.
Zhenming Peng, Qiheng Zhang, Jingru Wang, 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
JOURNAL ARTICLE
5 PAGES


SHARE
Back to Top