ESTIMATION OF TEXTURE PARAMETERS IN K-DISTRIBUTED CLUTTER

The authors analyse some of the problems associated with estimating th e order parameter of K-distributed high-resolution radar clutter. They identify the cause of these problems to be the nonlinear inversion of various texture measures to the order parameter of the texture. Accor dingly, they propose a reciprocal parameter to describe the order. The y derive the resultant systematic and random errors in the new texture descriptor, and demonstrate that this removes many of the problems. S imulations now show agreement with the predicted bias and variance, wh ile the bias is significantly smaller than before. It is also confirme d that the normalised log texture measure remains more accurate than o thers which have been proposed, and approximates the maximum likelihoo d solution to the estimation of the order parameter over most of the r ange of interest.