Synthetic Aperture Radar Images Target Recognition Based on Wavelet Domain NMF Feature Extraction
Huan Ruo-hong①②; Yang Ru-liang①
①Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;②Graduate University of the Chinese Academy of Sciences, Beijing 100190, China
Abstract:This paper presents a method for synthetic aperture radar images target recognition based on wavelet domain non-negative matrix factorization feature extraction. Low-frequency sub-band image is obtained by 2-D discrete wavelet decomposition of a SAR image. Non-negative matrix factorization is used for extracting feature vectors from the low-frequency sub-band image as the feature of the target. Support vector machine is used to perform target recognition. The method is applied for recognizing three-class targets in MSTAR database and the highest correct probability of recognition arrives at 97.51% which is enhanced obviously. It is concluded that the method proposed in this paper is an effective method for SAR images feature extraction and target recognition.