1 December 2004 Dim target detection based on nonlinear multifeature fusion by Karhunen-Loeve transform
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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)
Zhenming Peng, Zhenming Peng, Qiheng Zhang, Qiheng Zhang, Jingru Wang, Jingru Wang, Qin Ping Zhang, 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 . Submission:
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