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Optical Engineering • Open Access

Point target detection of infrared images with eigentargets
Author(s): Ruiming Liu; Erqi Liu; Jie Yang; Tianhao Zhang; Yuan Cao

Paper Abstract

A novel detection method for infrared (IR) point targets based on eigentargets is presented. The conception of eigentargets is proposed by making reference to eigenfaces in the field of face recognition. After creating the target training images using the Gaussian intensity function, we refine our method and obtain eigentargets that are a group of eigenvectors of the training set. These eigenvectors are then used to calculate the target map, defined by a target map function, at every location in the image to be detected. The large values in the target map image indicate the presence of targets. In comparison with other commonly used detection methods, our method has better performance with better receiver operating characteristics, and larger signal-to-noise ratio (SNR) and background suppression factor.

Paper Details

Date Published: 1 November 2007
PDF: 3 pages
Opt. Eng. 46(11) 110502 doi: 10.1117/1.2802301
Published in: Optical Engineering Volume 46, Issue 11
Show Author Affiliations
Ruiming Liu, Shanghai Jiao Tong Univ. (China)
Erqi Liu, China Aerospace Science & Industry Corp. (China)
Jie Yang, Shanghai Jiao Tong Univ. (China)
Tianhao Zhang, Shanghai Jiao Tong Univ. (China)
Yuan Cao, Shanghai Jiao Tong Univ. (China)


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