DocumentCode
2678321
Title
Multiscale filtering of SAR images using scale and space consistency
Author
Foucher, Samuel
Author_Institution
Comput. Res. Inst. of Montreal, Montreal
fYear
2007
fDate
23-28 July 2007
Firstpage
3878
Lastpage
3882
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IGARSS.2007.4423691
Filename
4423691
Link To Document