New SAR Target Classification Method Based on Simulation Image Template
Gangyao Kuang · Jisuanji fangzhen · 2013
The conventional SAR target classification methods are usually based on real image templates.However,the excessive storage is in contradiction with the completeness demand in the library of real image templates due to environmental factors,imaging parameters,etc.Therefore,a novel method based on simulated image templates was proposed to reduce the template library storage and economize the cost of acquiring real experimental data.At first,the images were preprocessed by regularization approach in order to suppress speckles.Then,the peak feature of the target was extracted.Finally,target classification was carried out using the geometric Hash match algorithm.Combining MSTAR image data with the simulation image templates which are generated by Radbase software,the experiment results show that the new approach is accurate and adaptable.