Clutter suppression based on adaptive subspace reconstruction

被引：0

作者：

Zhao Jia-Jia ^{[1
]}

Tang Zheng-Yuan ^{[2
]}

Yang Jie ^{[2
]}

Liu Er-Qi ^{[1
]}

Zhou Yue ^{[2
]}

机构：

[1] China Aerosp Sci & Ind Corp, Inst Acad 3, Beijing 100074, Peoples R China

[2] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China

来源：

JOURNAL OF INFRARED AND MILLIMETER WAVES | 2012年 / 31卷 / 01期

关键词：

sparse coding; clutter suppression; subspace reconstruction; object detection; SPARSE;

D O I：

10.3724/SP.J.1010.2012.00047

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

To suppress clutter in infrared image, a novel clutter suppression method based on adaptive subspace construction is proposed. An over-complete dictionary for modeling target is learned based on the sparse coding theory at first. Then the image patch is extracted from the test image in order. Representation coefficients are computed according to the dictionary. According to the difference in the representation coefficients of the target patch and the background patch in sparse domain, adaptive subspace is generated to reconstruct the image patch. Thus a residual image between original image patch and reconstructed patch is obtained. The experiment results show that the residual image obtained by the proposed method can effectively suppress background clutter and significantly improve signal-to-noise ratio of the infrared image.

引用

页码：47 / 51

页数：5

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