Title :
Adaptive speckle filters and scene heterogeneity
Author :
Lopes, Armand ; Touzi, Ridha ; Nezry, E.
Author_Institution :
Univ. Paul Sabatier, Toulouse, France
fDate :
11/1/1990 12:00:00 AM
Abstract :
The presence of speckle in radar images makes the radiometric and textural aspects less efficient for class discrimination. Many adaptive filters have been developed for speckle reduction, the most well known of which are analyzed. It is shown that they are based on a test related to the local coefficient of variation of the observed image, which describes the scene heterogeneity. Some practical criteria are introduced to modify the filters in order to make them more efficient. The filters are tested on a simulated synthetic aperture radar (SAR) image and an SAR-580 image. As was expected, the new filters perform better, i.e. they average the homogeneous areas better and preserve texture information, edges, linear features, and point target responses better at the same time. Moreover, they can be adapted to features other than the coefficient of variation to reduce the speckle while preserving the corresponding information
Keywords :
adaptive filters; computerised picture processing; geophysics computing; remote sensing by radar; speckle; SAR-580 image; adaptive filters; class discrimination; edges; linear features; radar images; scene heterogeneity; speckle filters; synthetic aperture radar; texture information; Adaptive filters; Information filtering; Information filters; Layout; Nonlinear filters; Radar imaging; Radiometry; Speckle; Synthetic aperture radar; Testing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on