Characteristic Analysis of SAR Noise Based on Wavelet Transform

For finding out behaviour characteristics of SAR image in Wavelet domain and utilizing Wavelet analysis technique to process SAR images well, this paper has carried on the thorough analysis for the characteristics of SAR image Wavelet coefficients from two aspects of energy and statistics distribute. Firstly, SAR image is transformed from the spatial domain to the Wavelet domain by Wavelet transformation algorithm, and the energy distribution characteristics of Wavelet coefficients in low frequency son-band are researched, then the energy distribution rules of Wavelet coefficients in high frequency (HF) son-bands are discussed with emphasis. From the analysis results obtained in this study, these conclusions can be made that SAR image Wavelet coefficients have the characteristic of energy accumulation in low frequency part, and has some characteristics in high frequency part, i.e., energy accumulation of high frequency remarkable coefficients, standard normal distribution of coefficients, the special correlation between energy tendency on each scale and noise size. These characteristics provide more spaces for noise analysis of SAR image, edge information examination and data compression based on Wavelet transform algorithm.