Abstract
Synthetic aperture radar(SAR)images are affected by speckle noise, and numerous methods have been proposed for reducting the noise. Speckle is assumed to have the characteristics of a random multiplicative noise whose intensity obeys a negative exponential distribution, but these characteristics are not true on some scenes, such as urban areas, in the image. In this paper, we propose a Kalman filter adapted to the regions which are classified according to texture in the SAR images.
