Abstract:

In order to overcome difficulty bright by the azimuth sensitivity and translation of SAR (Synthetic Aperture Radar) image,we presents a method of synthetic aperture radar image recognition based on two-dimension discrete wavelet transform and central moments feature extraction. After two dimension wavelet decomposition of the image, feature extraction is implemented by picking up the low-frequency sub-band image.And the central moments with translation-invariant property is extracted as feature vector.Support vector machine is used to classify the feature vector for target recognition. Experimentresults show that the method is an effective method that can reduce calculation and enhance the recognition.

Key words: wavelet transform, synthetic aperture radar (SAR) image, central moments feature, support vector machine