Matching-area suitability for SAR images

which is one of the key technologies of scene matching aided navigation

was studied in this paper. Firstly

the problem of SAR matching-area suitability was described combined with SAR imaging process

integrated navigation course and SAR image characters. Secondly

on the purpose of decreasing geomantic distortion and elevating matching probability

several effect factors for matching-area suitability were analyzed

which including constrain conditions in application

construction of feature criterions and predicting functions. Then a multi-objective genetic optimizing based matching-area selection model was proposed to seek for scene areas with small distortion and steady

remarkable

and abundant image features. Experimental result shows that matching probability of selected best matching area is 94%

which proves the rationality of the analysis and model. The proposed method can help to choose good SAR matching areas.