Restoration of textural properties in SAR images using second order statistics

Local second order properties, which describe spatial relations between pixels are introduced into single-point speckle filtering processes, in order to account for the effects of speckle 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), then from the local autocorrelation functions (ACF) are used. Results obtained on L=3-looks ERS-1 images illustrate the performances allowed by the introduction of these texture measures into structures retaining speckle filters.<
>