关键词: k-means, 动态时间弯曲算法, 探地雷达数据, 可视化

Abstract: In this paper, we propose a visualization method of ground penetrating radar data based on
dynamic time warping distance metric, which uses the advantages of dynamic time warping algorithm
on the time axis scaling, and combines with the specified clustering algorithm for ground penetrating
radar data clustering and visualization analysis. The algorithm is used for the measured ground
penetrating radar data sets; the experimental results show that compared with the traditional
clustering algorithm, the proposed algorithm can get better clustering results.

Key words: k-means, dynamic time warping, ground penetrating radar data, visualization