SAR target recognition based on Gabor filter and sub-block statistical feature

Author

Hu Feng-ming ; Zhang Ping ; Yang Ru-liang ; Fan Xue-hua

Author_Institution

Inst. of Electron., Chinese Acad. of Sci., Beijing

fYear

2009

fDate

20-22 April 2009

Firstpage

1

Lastpage

4

Abstract

A method for SAR target recognition based on low-frequency sub-band image, Gabor filter bank and sub-block statistical feature is presented in the paper. The sub-band image extracted from the pre-processed SAR image is filtered by Gabor filter bank on different directions and scales. The each filtered sub-band image is divided into different sub-blocks and the statistical features derived from every sub-block are regarded as the target recognition feature, which can be used to recognize the targets with SVM. The proposed method is tested and validated on MSTAR dataset for 3-type SAR target recognition.

Keywords

Gabor filters; feature extraction; radar imaging; radar target recognition; statistical analysis; support vector machines; synthetic aperture radar; Gabor filter bank; MSTAR dataset; SAR target recognition; SVM; sub-band image extraction; sub-block statistical feature; support vector machine; synthetic aperture radar; Gabor filter; SAR target recognition; SVM; sub-block statistical feature;

fLanguage

English

Publisher

iet

Conference_Titel

Radar Conference, 2009 IET International

Conference_Location

Guilin

ISSN

0537-9989

Print_ISBN

978-1-84919-010-7

Type

conf

Filename

5367456