Double density wavelet transformation for speckle reduction of SAR images

被引：0

作者：

Sveinsson, JR ^{[1
]}

Benediktsson, JA ^{[1
]}

机构：

[1] Univ Iceland, Dept Elect & Comp Engn, IS-107 Reykjavik, Iceland

来源：

IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Discrete wavelet transformations (DWTs) based on over-sampled filter banks, proposed in [1], axe used for speckle reduction of SAR images. The oversampled DWT is called double density DWT (DD-DWT) and is based on a single scaling function (lowpass) and two distinct wavelet functions (highpass). The DD-DWT is useful for speckle reduction through its subband images and the speckle reduction is obtained by thresholding the subband-image coefficients of the digitized SAR images. A thresholding method using non-linear functions which are adapted for each selected subband is used in the paper. The non-linear functions are based on sigmoid functions. The denoising method shows great promise for speckle removal and hence can provide good detection performance for SAR based recognition.

引用

页码：113 / 115

页数：3

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