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Proceedings Paper

Restoration and enhancement of textural properties in SAR images using second-order statistics
Author(s): Edmond Nezry; Hans-Guenther Kohl; Hugo De Groof
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Paper Abstract

Local second order properties, describing spatial relations between pixels are introduced into the single-point speckle adaptive filtering processes, in order to account for the effects of speckle spatial correlation and to enhance scene textural properties in the restored image. To this end, texture measures originating, first from local grey level co-occurrence matrices (GLCM), and second from the local autocorrelation functions (ACF) are used. Results obtained on 3-look processed ERS-1 FDC and PRI spaceborne images illustrate the performance allowed by the introduction of these texture measures in the structure retaining speckle adaptive filters. The observable texture in remote sensing images is related to the physical spatial resolution of the sensor. For this reason, other spatial speckle decorrelation methods, more simple and easier to implement, for example post-filtering and linear image resampling, are also presented in this paper. In the particular case of spaceborne SAR imagery, all these methods lead to visually similar results. They produce filtered (radar reflectivity) images visually comparable to optical images.

Paper Details

Date Published: 21 December 1994
PDF: 10 pages
Proc. SPIE 2316, SAR Data Processing for Remote Sensing, (21 December 1994); doi: 10.1117/12.197531
Show Author Affiliations
Edmond Nezry, Joint Research Ctr. of the European Communities (Belgium)
Hans-Guenther Kohl, Joint Research Ctr. of the European Communities (Italy)
Hugo De Groof, Joint Research Ctr. of the European Communities (Italy)


Published in SPIE Proceedings Vol. 2316:
SAR Data Processing for Remote Sensing
Giorgio Franceschetti, Editor(s)

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