Speckle and scene spatial estimators for SAR image filtering application to ERS-1 over fragmented forest

Author

Nezry, Edmond ; Leysen, Marc ; De Grand, Gianfranco

Author_Institution

Joint Res. Centre, Inst. for Remote Sensing, Ispra, Italy

Volume

2

fYear

34881

fDate

10-14 Jul1995

Firstpage

895

Abstract

Spatial estimators originating from the local autocorrelation functions (ACF) are introduced into the Gamma-Gamma MAP single-point speckle filter for SAR images in order to account for the effects of speckle and scene spatial correlation, to enhance scene texture, and to preserve the spatial resolution in the restored image. To this end, these estimators are used for the evaluation of the non-stationary first order local statistics, as well as for the detection of structural scene elements. Results obtained on airborne and ERS-1 images with different spatial resolutions illustrate the performance obtained by the implementation of these estimators into the filter

Keywords

digital filters; forestry; geophysical signal processing; geophysical techniques; image texture; radar applications; radar imaging; remote sensing; remote sensing by radar; spaceborne radar; speckle; synthetic aperture radar; ACF; ERS-1; Gamma-Gamma MAP single-point speckle filter; SAR image filtering; fragmented forest; geophysical measurement technique; image texture; land surface; local autocorrelation function; radar imaging; radar remote sensing; scene spatial correlation; scene spatial estimator; spaceborne radar; speckle; terrain mapping; vegetation; Autocorrelation; Degradation; Detectors; Filtering; Filters; Image edge detection; Image restoration; Image sampling; Layout; Spatial resolution; Speckle; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International

Conference_Location

Firenze

Print_ISBN

0-7803-2567-2

Type

conf

DOI

10.1109/IGARSS.1995.521089

Filename

521089