Wavelet domain compression analysis for differential interferometric synthetic aperture radar (DInSAR) images

Abstract

This research expounds on wavelet packet based compression methods for Differential Interferometric Synthetic Aperture Radar (DInSAR) images. Synthetic Aperture Radar (SAR) is a Satellite Radar imaging technology, which is used to capture data for different periods during day or night and at different weather conditions. Like many of the satellite imaginary, (DInSAR) Images can be compressed during retrieval, transmission and storage. Optimal compression techniques are required to preserve the information content of the high spectral image. This study elucidates the post-processing compression analysis of (DInSAR) images, using Wavelet Packets focusing on suitable selection of mother wavelets and empirical thresholding methods. Different behaviors of compression allow us to design and to select the mother wavelets/ threshold methods for optimal performance. It is observed that Symlet wavelet functions had consistent performance in terms, of Mean Square Error (MSE) and Peak Signal to Noise Ratio values (PSNR). Mother wavelet bior3.7 showed worse performance. The research investigation succeeded in providing improved compression performance of various mother wavelets for (DInSAR) images.