Title :
SAR target recognition based on sub-block statistical features extracted from the Gabor filtered image
Author :
Hu, Feng-ming ; Fan, Xue-hua ; Yang, Ru-liang
Author_Institution :
Inst. of Electron., Chinese Acad. of Sci., Beijing, China
Abstract :
A method for SAR target recognition using low-frequency sub-band and Gabor filter sub-block statistical feature is proposed. The sub-band image extracted from the pre-processed SAR image is filtered by Gabor filter 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 of all filtered sub-band images are regarded as the target recognition feature, which can be used to recognize the targets with SVM. The proposed method is validated on MSTAR dataset for 3-type SAR target recognition.
Keywords :
Gabor filters; feature extraction; image recognition; object detection; radar imaging; support vector machines; synthetic aperture radar; Gabor filtered image; MSTAR dataset; SAR target recognition; SVM; subblock statistical features; Azimuth; Discrete wavelet transforms; Feature extraction; Filtering; Frequency; Gabor filters; Image recognition; Support vector machines; Synthetic aperture radar; Target recognition; Gabor filter; SAR target recognition; SVM; sub-block statistical feature;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417453
