Target Detection Performance Analysis of SAR Image with Different Resolutions Based on Template Matching

As the importance of analyzing system resource constrains on SAR automatically target recognition (ATR) has been noticed, more researchers start contributing to this field. In this paper, we focus on discussing the relationship between the performance of target detection and the resolution of SAR image which is regarded as one of the most important parameters of SAR imaging system. It is assumed that the resolution does not need to be good enough in target detection, but the modest reduction of resolution will provide a better trade-off between accuracy and speed. Firstly, an empirical operation is used to modify the resolution of raw images. Actually, the images with different resolutions should be derived by SAR imaging independently, but that's not the point in this paper. Then the comparison using two methods is described, the optimal detector based on Bayesian expression and the sub-optimal detector, which is known as CFAR detection. The simulated data is used to evaluate the performance of detection, and the correctness of our suspicion is demonstrated in the experiment.