DocumentCode
2881909
Title
Multiresolution analysis scheme for ERS-1 image segmentation
Author
Serir, Amina ; Sansal, Boualem ; Serir, Aonzar
Author_Institution
Lab. de Traitement d´´Images, USTHB, Alia, Algeria
fYear
1996
fDate
18-21 Jun 1996
Firstpage
489
Lastpage
492
Abstract
We exploit the speckle information to provide ERS-1 images segmentation into regions, with reference to roughness. We describe a new segmentation scheme by using multi-scale information related to multifractal dimensions. We show that two different natural regions will give on radar imaging different roughness. The roughness characteristic may be considered as preliminary segmentation criterion. The natural measure of roughness is the fractal dimension. But the main characteristic of a fractal is its self -similarity. To keep the scale invariant pattern, a multiresolution technique is then incorporated to reduce the noisy roughness. This method associated to local fractal dimensions provides a good preliminary roughness segmentation scheme
Keywords
fractals; image representation; image resolution; image segmentation; noise; radar imaging; remote sensing by radar; spaceborne radar; speckle; ERS-1 image segmentation; fractal dimension; image regions; local fractal dimensions; multifractal dimensions; multiresolution analysis; multiscale information; multiscale representation; noisy roughness reduction; radar imaging; roughness characteristic; roughness segmentation; scale invariant pattern; self -similarity; speckle information; Fractals; Image segmentation; Multiresolution analysis; Noise reduction; Rough surfaces; Signal resolution; Spatial resolution; Speckle; Surface roughness; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location
Paris
Print_ISBN
0-7803-3512-0
Type
conf
DOI
10.1109/TFSA.1996.550099
Filename
550099
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