Texture preserving speckle reduction in SAR imagery using granulometric shrinkage
Texture preserving speckle reduction in SAR imagery using granulometric shrinkage
- Author(s): N.D. Fletcher and A.N. Evans
- DOI: 10.1049/cp:20050091
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- Author(s): N.D. Fletcher and A.N. Evans Source: IEE International Conference on Visual Information Engineering (VIE 2005), 2005 p. 203 – 210
- Conference: IEE International Conference on Visual Information Engineering (VIE 2005)
- DOI: 10.1049/cp:20050091
- ISBN: 0 86341 507 5
- Location: Glasgow, UK
- Conference date: 4-6 April 2005
- Format: PDF
A new approach to speckle reduction with texture preservation is presented termed granulometric shrinkage. The technique is analogous to wavelet shrinkage but with the wavelet transform replaced by a nonlinear multiscale granulometric sieve. The sieve employs area morphology, thus removing any shape bias associated with the use of fixed structuring elements. As the granulometric sieve is by nature edge preserving, the benefits of the new approach include improved edge and texture preservation. Experimental results using a SPOT image corrupted by synthetic speckle show the new approach to have a better speckle reduction capability than conventional wavelet shrinkage, with improved preservation of edges and other high frequency image features.
Inspec keywords: mathematical morphology; radar imaging; terrain mapping; synthetic aperture radar; edge detection; image texture; remote sensing by radar; feature extraction
Subjects: Geography and cartography computing; Computer vision and image processing techniques; Geophysical techniques and equipment; Radar equipment, systems and applications; Optical, image and video signal processing
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