Performance measures of wavelet families on sar images for compression hypothesis

Synthetic Aperture Radar (SAR) techniques represent a promising alternative compared to traditional surveillance methods. The capabilities of satellite based SAR systems are confirmed and specific data exploitation methods are still to be developed to provide an efficient automatic interpretation of SAR data. The mean of this paper is to analyze and compare a set of wavelet families on ship SAR images. The outcome of this research is to bring out the important features of wavelet transform in compression of SAR images. The wavelet transform provides efficient performance especially in compression ratios, signal to noise ratio and visual quality. Wavelet Transform decomposes the SAR image into function at different resolution levels. The results provided here is a good reference for SAR application developers to choose the wavelet families. Thus the paper concludes that wavelets transform to be rapid, robust and reliable tool for SAR image compression and able to manage heterogeneous views of SAR images, where the conventional approaches may fail.