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
Link To Document :
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