Extraction of structural features on SAR images: An adaptive version of the HK-Filter

Hind Taud; Jean Francois Parrot

doi:10.1117/12.262693

Extraction of structural features on SAR images: An adaptive version of the HK-Filter

Hind Taud, Jean Francois Parrot

Centro de Innovación y Desarrollo Tecnológico en Cómputo (CIDETEC)

Research output: Contribution to conference › 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. ©2005 Copyright SPIE - The International Society for Optical Engineering.

Original language	American English
Pages	207-213
Number of pages	7
DOIs	https://doi.org/10.1117/12.262693
State	Published - 1 Dec 1996
Event	Proceedings of SPIE - The International Society for Optical Engineering - Duration: 31 Aug 2007 → …

Conference

Conference	Proceedings of SPIE - The International Society for Optical Engineering
Period	31/08/07 → …

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10.1117/12.262693

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Extraction of structural features on SAR images: An adaptive version of the HK-Filter

Abstract

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