Title :
Multiscale filtering of SAR images using scale and space consistency
Author_Institution :
Comput. Res. Inst. of Montreal, Montreal
Abstract :
A new approach for speckle reduction in SAR images based on the stationary wavelet transform is proposed. Noisy wavelet coefficients are reduced via a shrinkage function that depends on a statistical modeling of the normalized wavelet coefficient probability density functions. Consistencies between coefficients across scales and space are also reinforced using consistency rules. The approach is particularly robust in cases of correlated speckle noise.
Keywords :
filtering theory; speckle; synthetic aperture radar; wavelet transforms; SAR images; multiscale image filtering; probability density functions; shrinkage function; space consistency; speckle noise; stationary wavelet transform; Density functional theory; Filtering; Low-frequency noise; Noise reduction; Noise robustness; Nonlinear filters; Speckle; Wavelet coefficients; Wavelet transforms; White noise; SAR; speckle filtering; wavelet;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4423691
