A target classification algorithm in high resolution and single polarimetric SAR image is presented in this paper. Firstly

a new RCS reconstruction filter based on the modified correlated neighborhood model is used for target and shadow detection. By nonlinear iterated process

the whole image can be classified to background

shadow and targets.Secondly

a series of mor-phological operators are used to terrain filtering and edge extraction

and then through modified Hough Transform technology and the measure of slimming lines

line structures of man-made clutters in target class are linked and grouped.Finally

with special association model

the targets we are interested in are classified.