Target recognition algorithms of optics images can’t be applied to SAR images because of the prominent difference between SAR images and optics images, which makes the research to SAR image target recognition more important. Traditional recognition algorithms based on models pay same attention to all features by giving the same weight, whereas different features may have quite different influence to the recognition results. The relative positions of target projected to feature space may change by giving different features with different weights, which helps to get more appropriate recognition results. This article uses texture features as the recognition features, then the SVM algorithms is adopted with the feature weights calculated by ReliefF algorithm. The test results show that this weighted recognition algorithm has higher recognition rate.