抽象的

NOVEL STATISTICAL APPROACH FOR SEGMENTATION OF SAR IMAGES

Debabrata Samanta, Goutam Sanya

The statistical parameters include high order image statistics like skewness which describe the shape and symmetry of the image. SAR images data are the result of a coherent imaging system that produces the impair noise fact. Image segmentation is the process of unscrambling or grouping an image into different parts. The good feat of recognition algorithms based on the quality of segmented image. The main problem in SAR image application is correct segmentation. In this paper, we consider the problem of SAR image segmentation by a statistical parameter.