Abstract
Ultra-wideband Synthetic Aperture Radar (UWB SAR) has the characteristics of wide aspect angle and wide frequency band. UWB SAR data contains rich information about targets. However, the prior information of landmine is used until the discrimination in the conventional landmine detection procedure. Therefore, in order to ensure the probability of detection, there exist many false alarms in the prescreening results. That will increase the burden of the subsequent processing steps. By applying the prior knowledge of landmine to imaging, landmine-enhanced imaging can be realized and beneficial improvements in image quality and detection performance can be expected. In this paper, the unique feature of aspect invariance is used in landmine-enhanced imaging. Further, we apply the landmine-enhanced imaging to landmine detection. Thus, the detection probability of landmine increases under the same false alarms rate as the traditional landmine detection method. The experimental results demonstrate the effectiveness and practicability of the proposed algorithm.
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