Abstract: Traditional multi-look SAR images are highly sensitive to target aspect angle,which is unfavorable to target recognition.To solve the problem,a static modeling method for multi-look SAR images is proposed.The method integrates images from multiple aspects into a composite data structure.The data structure is reorganized so as to be function of target scatter centers,not of aspects.Then the static model is used to modeling the target data of incomplete aspects,and form the template of different targets.The input multi-look SAR images are classified using template matching algorithm.The theory analysis and simulation result show that the method excels traditional model when a small quantity of SAR images of different aspects are feasible.