The invention belongs to the technical field of radar object identifying, and discloses a SAR object identifying method based on multiple feature fusion bag-of-words (BoW) mode. The method includes the following steps: 1. acquiring multiple local features corresponding to each image from training slice images and test slice images; 2. obtaining a vision dictionary corresponding to the multiple local features; 3. coding low-level features of the multiple local features to obtain histogram features of a BoW model of the training slice images and test slice images so as to further obtain the global features of the fused training slice images and test slice images; and 4. using a histogram suprachiasmatic nucleus support vector machine to identify the global features of the test slices. According to the invention, the method increases identifying properties, and can be applied to SAR object identification in complex scenarios.