一种新的SAR图像目标识别预处理方法

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Novel pre-processing method for SAR image based automatic target recognition

HU Li-ping;LIU Hong-wei;WU Shun-jun

(Key Lab. of Radar Signal Processing, Xidian Univ., Xi′an 710071， China)

Received:1900-01-01 Revised:1900-01-01 Online:2007-10-20 Published:2007-10-25

Abstract

Abstract: An efficient image pre-processing method is proposed for Synthetic Aperture Radar (SAR) image based automatic target recognition application. Firstly, the smoothed target image is segmented from the clutter background via adaptive threshold segmentation, morphological filter and geometric clustering processing. Secondly, power transformation is used to enhance the obtained target image. Finally, Principal Component Analysis (PCA) and 2-Dimensional Principal Component Analysis (2DPCA) features are extracted for classifying the target. Experimental results based on the Moving and Stationary Target Acquisition and Recognition (MSTAR) data show that the recognition performance of PCA and 2DPCA by using the proposed pre-processing method can reach more 96.5%.

Key words: synthetic aperture radar, targe recognition, principal component analysis, 2-dimensional principal component analysis

CLC Number:

TP753

HU Li-ping;LIU Hong-wei;WU Shun-jun. Novel pre-processing method for SAR image based automatic target recognition
[J].J4, 2007, 34(5): 733-737.

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Novel pre-processing method for SAR image based automatic target recognition

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