Title :
Speckle noise removal in SAR image based on SOT structure in wavelet domain
Author :
Peng, Cheng ; Chan, Andrew
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The Spatial-orientated tree (SOT) structure plays a very important role in wavelet-based image compression. Both the Embedded Zero-tree Wavelet (EZW) and the Set Partitioning in Hierarchical Trees (SPIHT) coding schemes utilize the parent-children relationship in SOT for image compression. The SOT is a very efficient data structure to be used for investigation of spatial correlations among wavelet coefficients at different resolutions. However, to the best knowledge of the authors, the SOT has not been widely used in noise suppression or image enhancement. This paper addresses this application and presents a novel denoising algorithm that utilizes the SOT to normalize the wavelet coefficients at different resolutions and remove the signal-dependence of the speckles before applying the thresholding scheme
Keywords :
data compression; geophysical signal processing; geophysical techniques; image coding; image processing; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; wavelet transforms; EZW; SAR image; SPIHT; algorithm; coding schemes; denoising; denoising algorithm; embedded zero tree wavelet; geophysical measurement technique; image compression; image enhancement; land surface; noise suppression; parent-children relationship; radar remote sensing; set partitioning hierarchical trees; spatial orientated tree structure; speckle noise removal; synthetic aperture radar; terrain mapping; thresholding; thresholding scheme; wavelet domain; Discrete wavelet transforms; Image analysis; Image coding; Image enhancement; Signal resolution; Spatial resolution; Speckle; Wavelet analysis; Wavelet coefficients; Wavelet domain;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.978247
