Matching-area suitability for Synthetic Aperture Radar(SAR) images, one of the key technologies of scene matching aided navigation, was studied in this paper.The problem of SAR matching-area suitability was described combined with SAR imaging process, integrated navigation course and SAR image characters.Then, for decreasing geometric distortion and improving matching probability, several effect factors on matching-area suitability were analyzed, including constraint conditions in application, construction of feature criterions and predicting functions.Furthermore, a multi-objective genetic optimizing model based on SAR matching-area selection was proposed to decrease geometric distortion and optimize image features.Experimental result shows that the matching probability of the best matching area selected is 94%, which proves the rationality of the analysis and model.The proposed method can provide a reference for choosing good SAR matching areas.