No abstract

The presence of speckle in Synthetic Aperture Radar (SAR) images makes the segmentation of such images difficult, either by gray levels or by texture. Based on an SAR speckle statistical model, this paper will investigate the feasibility of segmenting SAR images based on a gray-level histogram for one-look and multilook processed SAR images. Also, we will evaluate the classification errors and devise a procedure for the multilevel thresholding of SAR images.