Restoration of textural properties in SAR images using second order statistics
Texture, which is concerned with the spatial distribution of grey levels, is known to be important in the analysis of SAR images for a wide range of applications. In this paper, local second order statistical properties are explicitly introduced into the speckle filtering and radar reflectivity restoration process, using either Haralick features of the local grey level co-occurrence matrices (GLCM) or, for more completeness, local autocorrelation functions (ACF). The desired effect is to account for correlated speckle and to enhance the restoration of textural properties in the filtered image.
Bibliographic Reference: Paper presented: IGARSS '94, Pasadena (US), August 8-12, 1994
Availability: Available from (1) as Paper EN 38443 ORA
Record Number: 199411070 / Last updated on: 1994-11-28
Original language: en
Available languages: en