基于双曲线特征的浅地层探地雷达杂波抑制与合成孔径成像研究
Research on Clutter Reduction and Synthetic Aperture Imaging of Shallow Subsurface Ground Penetrating Radar Based on Hyperbolic Feature
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摘要: 本文根据浅地层探地雷达图像的特点，提出了一种基于图像处理技术的杂波抑制方法。并在此基础上，进而提出了一种实现探地雷达合成孔径成像的快速方法。通过对实测数据进行处理，结果表明，所提杂波抑制方法取得了很好的效果，且通用性强；所提的快速合成孔径成像方法与普通合成孔径成像方法相比，所得图像的分辨力相当，且所提方法减少了杂波成分的影响，使处理速度得到了极大的提高，成像的效果更好。Abstract: This paper proposed a new clutter reduction method based on characteristic of Ground Penetrating Radar(GPR) image in detecting shallow subsurface objects. Moreover, a method to realize fast synthetic aperture imaging based on the proposed clutter reduction method is proposed. The results of processing measurement data show the proposed clutter reduction method is very effective and universally valid; The resolving power of image gained by the proposed fast synthetic aperture imaging method corresponds with that general synthetic aperture imaging method, thanks to the proposed method can eliminate the influence of clutter, so the processing speed is improve greatly comparing with general synthetic aperture imaging method, the effect of image gained by the proposed method better than general synthetic aperture imaging method.
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