Title :
Multiwavelets based denoising of SAR image
Author :
Wan-She, Li ; Zheng, Buo
Author_Institution :
Lab. for RSP, Xidian Univ., Xi´´an, China
Abstract :
We study synthetic aperture radar (SAR) images with the multiwavelets transform, present a new denoising method of multiwavelets to reduce the coherent speckle noise. A number of experiments prove that this new method not only suppresses the speckle noise effectively, but also preserves as many of the target characteristics of the original images as is possible. It shows that this denoising method offers a very attractive alternative to suppressing the coherent speckle noise of the SAR images
Keywords :
image resolution; noise; radar imaging; radar resolution; speckle; synthetic aperture radar; wavelet transforms; SAR image; coherent speckle noise reduction; multiresolution analysis; multiwavelets based denoising; multiwavelets shrinkage method; multiwavelets transform; speckle noise suppression; synthetic aperture radar; target characteristics; Azimuth; Filtering; Finite impulse response filter; Image segmentation; Noise reduction; Pixel; Reflectivity; Spatial resolution; Speckle; Synthetic aperture radar;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894500
