Features enhancement on SAR-ERS 1 images: HK-filter

Jean Francois Parrot, Hind Taud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In order to remove the speckle on radar images while preserving the radiometrical and spatial resolution of the initial image, various filtering techniques have been proposed. These techniques are mainly based on a statistical and/or a morphological approach. The filtering presented here belongs to the first class. The statistical distribution of the backscatter values of the initial image is observed inside a given neighborhood and controlled by three parameters (size of the neighborhood, radiometric range and length of the isolated elements). This technique has been applied on two SAR-ERS1 scenes (Spitsbergen glaciers and Mount Pinatubo in the Philippines). While reducing the speckle, the HK-Filter seems able to underline the linear features.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsChristopher J. Oliver, Shahram Tajbakhsh, Giorgio Franceschetti, James C. Shiue
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages133-141
Number of pages9
ISBN (Print)0819419486
StatePublished - 1 Dec 1995
Externally publishedYes
EventSynthetic Aperture Radar and Passive Microwave Sensing - Paris, Fr
Duration: 25 Sep 199525 Sep 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2584
ISSN (Print)0277-786X

Conference

ConferenceSynthetic Aperture Radar and Passive Microwave Sensing
CityParis, Fr
Period25/09/9525/09/95

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Cite this

Parrot, J. F., & Taud, H. (1995). Features enhancement on SAR-ERS 1 images: HK-filter. In C. J. Oliver, S. Tajbakhsh, G. Franceschetti, & J. C. Shiue (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 133-141). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2584). Society of Photo-Optical Instrumentation Engineers.