Three-dimensional Imaging Of Ground Penetrating Radar To Defects

By studying ground-penetrating radar images of shallow strata of objects data processing and formation of three-dimensional image, slowly turn to the field of forestry, supply foundation for forestry. Underground environment is more complex, reflected wave signal is complicated, the general waveform processing, use filters noise suppression processing later. Generate3D images, and after further improvements, render three-dimensional image into a continuous one. Studies impact of different media on radar, K-means algorithm and the improved, use Matlab programming, image for further optimization and improvement, has achieved good results. Supply the foundation for further radar used in forestry field through application of radar in geological, confirming the feasibility of three-dimensional imaging method. This research has a few innovations as below:1. Improve k-means algorithm, propose a new algorithm which make a higher recognition rate on the extraction of data more accurate;2. Radar image different characteristics of different media, writing recognition algorithm for different objects in the media.