A method of moving target indication in single SAR(Synthetic Aperture Radar)imagery is proposed.First

a road detection method based on compressive sensing for single SAR image is presented

the fuzzy C mean method is used to classify the SAR image according to the road characteristics of the SAR images

and the road pixels are extracted.Then it shows how compressive sensing can be used to find lines in images

by exploiting sparseness in the Hough transform domain.Secondly

the moving targets are detected by a indication method based on sparse representation.In SAR image

different velocities of moving target lead to different defocuses and range cell migration.Based on this character

the over-complete dictionary of targets sample images with different speeds is constructed.Then the test SAR images are blocked into sub-images and the corresponding coefficients are calculated with the dictionary.According to the coefficients

moving target can be detected and the motion parameters can be estimated.Finally

the effects of Doppler ambiguity on motion parameters estimation are eliminated

and the false target and calibrate motion parameters are excluded.The results of experiments indicate the effectiveness of the proposed method.