Sparse-representation-based automatic target detection in infrared imagery

被引：19

作者：

Zhao, Jufeng ^{[1
]}

Chen, Jinwei ^{[1
]}

Chen, Yueting ^{[1
]}

Feng, Huajun ^{[1
]}

Xu, Zhihai ^{[1
]}

Li, Qi ^{[1
]}

机构：

[1] Zhejiang Univ, State Key Lab Modern Opt Instrumentat, Hangzhou 310027, Peoples R China

来源：

INFRARED PHYSICS & TECHNOLOGY | 2013年 / 56卷

关键词：

Target detection; Infrared image; Sparse-representation; Center-surround difference;

D O I：

10.1016/j.infrared.2012.11.001

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

A sparse-representation-based automatic target detection approach for forward-looking infrared imagery is proposed. The sparsity is calculated by approximately expressing the pixels within a center image block as the sparsest representation of its surroundings in feature domain. This locally computed sparsity reflects center-surround difference, which is used for distinguishing targets and background clutter. The experimental results on image data show that the proposed approach performs well in IR target detection. The method can not only give out the position of targets, but also the whole shape. (c) 2012 Elsevier B.V. All rights reserved.

引用

页码：85 / 92

页数：8

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