Abstract
In this paper, the SAR image in MSTAR data is used as the research object. The target recognition algorithm based on probabilistic neural network (PNN) is mainly studied. It includes three parts: SAR image preprocessing, feature extraction, classification and recognition. Lee filtering and adaptive threshold method are used to filter the speckle noise effectively, and the 2DPCA principal component analysis method is used to reduce the dimension of the image and obtain the 10 dimensional image features. The recognition part is input to the PNN training test with the acquired feature vectors, and the 85.17% correct recognition rate is obtained, and the target classification and recognition of the SAR image is completed.
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