Synthetic Aperture Radar Image Target Recognition Based on Multi-Images of the Same Target and Hidden Markov Models
基于多幅同目标图像和HMM的SAR图像目标识别

This paper presents a method for synthetic aperture radar images target recognition based on multi images of the same target and Hidden Markov Models (HMM). Feature vectors of target images are extracted with principal component analysis in wavelet domain. Feature sequences of an image are obtained from the feature vectors of multi images of the same target in different azimuths. Target recognition is carried out for feature sequences with the HMM. The experiments results show that the correctness of recognition is enhanced obviously with the proposed method, and it is an effective method for SAR images target recognition.