Infrared point target detection with improved template matching

被引：90

作者：

Liu, Ruiming ^{[1
]}

Lu, Yanhong ^{[2
]}

Gong, Chenglong ^{[1
]}

Liu, Yang ^{[3
]}

机构：

[1] Huaihai Inst Technol, Sch Elect Engn, Lianyungang 222005, Peoples R China

[2] Lianyungang Tech Coll, Lianyungang 222006, Peoples R China

[3] Huaihai Inst Technol, Sch Foreign Languages, Lianyungang 222005, Peoples R China

来源：

INFRARED PHYSICS & TECHNOLOGY | 2012年 / 55卷 / 04期

关键词：

Infrared; Target detection; Pattern matching; Template matching; Matching pursuit algorithms; Mode matching; COMPONENT ANALYSIS; FILTERS;

D O I：

10.1016/j.infrared.2012.01.006

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Detecting point targets in infrared images is a difficult task. Template matching is simple and easy to implement for completing this task. However, it has some shortcomings. We propose an improved template matching method for detecting targets. Different from the classic template matching, the projection coefficients obtained from principal component analysis are used as templates and the nonlinear correlation is proposed to measure the similarity, the matching degree. The correlation in original space can not capture the higher-order statistical property of images. So its detection performance is not satisfying. We introduce the nonlinear correlation, which computes the correlation coefficients in a higher-dimensional feature space or even in an infinite-dimensional feature space, to capture the higher-order statistics. The detection performance is improved greatly. Results of experiments show that the improved method is competent to detect infrared point targets. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：380 / 387

页数：8

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