The multiplicative nature of the speckle noise in SAR images has been a big problem in SAR image segmentation.The maximum likelihood region merging segmentation algorithm is studied and employed.An adaptive edge detect procedure is introduced into the algorithm here and better segmentation performance of the improved algorithm with the adaptive edge detect is involved.A simulated annealing segmentation algorithm with excellent performance is studied and introduced here

and a hybrid algorithm which is practical in SAR image segmentation combines simulated annealing algorithm and maximum likelihood algorithm together to achieve a similar performance with the simulated annealing algorithm is also proposed.Segmentation comparison between these algorithms is given as well as instructions of how to select the segmentation algorithms in practice.