A SAR Image Shadow Modeling and Classification Method Based on HMM and Chain Code

The utility of target shadows for automatic target recognition(ATR) in synthetic aperture radar(SAR) imagery is investigated.A method for synthetic aperture radar images target recognition using hidden Markov models and chain code is presented.Shadow shape of SAR image is described by chain code which flects shape characteristic well and computes effectively.The chain codes of target shadow are utilized for hidden Markov modeling.Targets are classified using HMM statistical model.Image samples of targets in MSTAR database are used to verify the method.The results show that the proposed method can enhance the target recognition rate evidently and is an effective method for synthetic aperture radar images target recognition.