Title :
The application of wavelet transform for speckle suppression in radar imagery
Author :
Dong, Yunhan ; Forster, B. ; Milne, Anthony ; Ticehurst, Catherine
Author_Institution :
Sch. of Geomatic Eng., New South Wales Univ., Kensington, NSW, Australia
Abstract :
An effective algorithm for speckle noise smoothing using wavelet transform techniques is presented. Recursive wavelet transforms are used to gradually suppress speckle noise. It is found that this algorithm is more powerful compared to other existing filtering algorithms in terms of speckle suppression for synthetic aperture radar images. Examples show that the ratio of the original standard deviation to mean of about 0.30 (equivalent to 3-look images) can be reduced to 0.05-0.03 (equivalent to more than 100-look images), with a possible small sacrifice of losing some details and narrow edges
Keywords :
geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; wavelet transforms; SAR; algorithm; geophysical measurement technique; image processing; land surface; radar imagery; radar imaging; radar remote sensing; recursive wavelet transform; speckle noise smoothing; speckle suppression; synthetic aperture radar; terrain mapping; Additive noise; Australia; Discrete wavelet transforms; Facsimile; Radar applications; Radar imaging; Smoothing methods; Speckle; Telephony; Wavelet transforms;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615341
