Restoration and enhancement of textural properties in SAR images using second order statistics
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 from local grey level co-occurrence matrices (GLCM) and 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. Other spatial decorrelation methods, for example post-filtering and linear image resampling, are also presented. In the particular case of spaceborne SAR imagery, all these methods lead to filtered (radar reflectivity) images visually comparable to optical images.
Bibliographic Reference: Paper presented: The European Symposium on Satellite Remote Sensing, Roma (IT), September 26-30, 1994
Availability: Available from (1) as Paper EN 38572 ORA
Record Number: 199411292 / Last updated on: 1994-12-06
Original language: en
Available languages: en