The invention discloses an airborne SAR imaging quality evaluation method based on a support vector machine. According to the method, a classification model based on the support vector machine is adopted, a plurality of quality evaluation indexes are fused, a hidden relationship among the indexes can be excavated, the hidden relationship can be used for guiding classification, and evaluation of animaging result is given, so that training samples are extracted through target data, the generalization performance of the model is strengthened, and the accuracy of imaging quality evaluation is promoted. Meanwhile, by constructing a support vector machine classification model, on one hand, the accuracy of evaluation can be effectively improved by fusing each single quality evaluation index, onthe other hand, the requirement of the application of the support vector machine on the number of training samples is not high, and the actual situation can be met.