An evaluation method of SAR images based on radial integral features of target and shadow

A quantitative evaluation method of synthetic aperture radar（SAR)simulation image based on features of a target and its shadow is introduced to evaluate the validity of SAR templates by theoretical modeling.Firstly，target and shadow regions are segmented from the original images.Secondly，the radial integral features of polar mapping of a target contour image，a target intensity image and a shadow contour image are extracted，respectively.Finally，three correlation coefficients are computed based on these features.By computing the similarities and the correct recognition rates between the simulated SAR images and the moving and stationary target recognition（MSTAR)SAR images of three typical ground vehicles（BMP2，BTR70，and T72)，we conclude that the evaluation method based on radial integral features of polar mapping is effective with higher degrees of correlation and classification rates.