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Proceedings Paper

Extraction of structural features on SAR images: an adaptive version of the HK-Filter
Author(s): Hind Taud; Jean-Francois Parrot
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Paper Abstract

The HK-filter previously developed by the authors is a statistical filter devoted to the speckle removal and structural features enhancement on SAR images. As this filter is based on a pattern analysis applied to the shape observed in a given neighborhood and according to a gray- level range, it can be used to extract structural features. We purpose here to use spatial arrangement given by the occurrence of the constitutive elements of shapes, to extract and to differentiate the different structural features encountered on SAR images.

Paper Details

Date Published: 17 December 1996
PDF: 7 pages
Proc. SPIE 2958, Microwave Sensing and Synthetic Aperture Radar, (17 December 1996); doi: 10.1117/12.262693
Show Author Affiliations
Hind Taud, Univ. Mohammed V, ORSTOM, and Univ. Pierre et Marie Curie (France)
Jean-Francois Parrot, Univ. Mohammed V, ORSTOM, and Univ. Pierre et Marie Curie (France)

Published in SPIE Proceedings Vol. 2958:
Microwave Sensing and Synthetic Aperture Radar
Giorgio Franceschetti; Christopher John Oliver; Franco S. Rubertone; Shahram Tajbakhsh, Editor(s)

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