A target discrimination algorithm for high resolution SAR imagery

Author

Zhang, Cui ; Zou, Tao ; Wang, Zhengzhi

Author_Institution

Autom. Control Inst., NUDT, Changsha, China

Volume

2

fYear

2003

fDate

8-13 Oct. 2003

Firstpage

863

Abstract

Target discrimination is an important stage of automatic target recognition (ATR). A region of interest (ROI) segmentation algorithm based on CFAR technique is described first. Then, a novel discriminator, the extended fractal (EF) discriminator, is proposed. At last, a discrimination algorithm composed of EF feature, target region area, and peak power ratio is designed to discriminate target from clutter ROIs. Experimental results using the MSTAR dataset show that this discrimination algorithm can eliminate most of the false alarms while maintain a high detection rate.

Keywords

image segmentation; radar clutter; radar imaging; radar target recognition; synthetic aperture radar; ATR; CFAR technique; automatic target recognition; discrimination algorithm; extended fractal discriminator; peak power ratio; radar clutter; region of interest segmentation algorithm; target discrimination algorithm; Backscatter; Counting circuits; Detectors; Filters; Focusing; Image resolution; Image segmentation; Pixel; Target recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on

Print_ISBN

0-7803-7925-X

Type

conf

DOI

10.1109/RISSP.2003.1285700

Filename

1285700