基于DTW距离的探地雷达数据可视化
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摘要
提出一种基于动态时间弯曲算法距离度量的探地雷达数据可视化方法,利用动态时间弯曲算法在时间轴方向上伸缩的优越性,结合可指定类数的聚类算法对探地雷达数据进行聚类和可视化分析。可用于实测的探地雷达数据集,实验结果表明,相对于传统的聚类算法,本文算法能得到更好的聚类结果。
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.
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.
引文
[1]张永山.探地雷达异物目标探测与数据处理研究[D].太原:中北大学,2012.
[2]Feng Xuan,Sato M.Pre-stack migration applied to GPR for landmine detection[J].Inverse Problems,2004,20(6):99-115.
[3]Stolt R H.Migration by Fourier transform[J].Geophysics,1978,43(1):23-48.
[4]Gurbuz A C,Mc Clellan J H,Scott W R.Compressive sensing for GPR imaging[C]//The 41st Asilomar Conference on Signals,Systems and Computers.Pacific Grove,USA,2007:2223-2227.
[5]Capineri L,Grande P,Temple J A G.Advanced image‐processing technique for real‐time interpretation of ground‐penetrating radar images[J].International Journal of Imaging Systems and Technology,1998,9(1):51-59.
[6]Morrow I L,Van Genderen P.A 2-D polarimetric backpropagation algorithm for ground‐penetrating radar applications[J].Microwave and Optical Technology Letters,2001,28(1):1-4.
[7]Ozdemir C,Lim S,Hao Ling.A synthetic‐aperture algorithm for ground‐penetrating radar imaging[J].Microwave and Optical Technology Letters,2004,42(5):412-414.
[8]Qin Yao,Wang Qifu.Kirchoff migration algorithm for ground penetrating radar data[C]//Computer Science and Electronics Engineering(ICCSEE),2012International Conference on IEEE.Hangzhou,2012:396-398.
[9]张二华,高林,马仁安,等.三维地震数据可视化原理及方法[J].CT理论与应用研究,2007,16(3):20-28.
[10]蔡维纬.二维地震数据可视化的研究与实现[D].昆明:云南大学,2013.
[11]肖汉.地震数据的可视化技术研究[D].长沙:湖南大学,2007.
[12]Salvador S,Chan P.Toward accurate dynamic time warping in linear time and space[J].Intelligent Data Analysis,2007,11(5):561-580.
[13]Keogh E,Kasetty S.On the need for time series data mining benchmarks:a survey and empirical demonstration[J].Data Mining and Knowledge Discovery,2003,7(4):349-371.
[14]程文聪,邹鹏,贾焰,等.基于DTW距离的伪周期数据流异常检测[J].计算机研究与发展,2010,47(5):893-902.
[15]陆薛妹,胡轶,方建安.基于分段极值DTW距离的时间序列相似性度量[J].微计算机信息,2007,23(9-3):204-206.
[16]王倩,吴国平,陈琳.特定人语音识别算法——DTW算法[J].软件导刊,2005,(20):46-48.
[2]Feng Xuan,Sato M.Pre-stack migration applied to GPR for landmine detection[J].Inverse Problems,2004,20(6):99-115.
[3]Stolt R H.Migration by Fourier transform[J].Geophysics,1978,43(1):23-48.
[4]Gurbuz A C,Mc Clellan J H,Scott W R.Compressive sensing for GPR imaging[C]//The 41st Asilomar Conference on Signals,Systems and Computers.Pacific Grove,USA,2007:2223-2227.
[5]Capineri L,Grande P,Temple J A G.Advanced image‐processing technique for real‐time interpretation of ground‐penetrating radar images[J].International Journal of Imaging Systems and Technology,1998,9(1):51-59.
[6]Morrow I L,Van Genderen P.A 2-D polarimetric backpropagation algorithm for ground‐penetrating radar applications[J].Microwave and Optical Technology Letters,2001,28(1):1-4.
[7]Ozdemir C,Lim S,Hao Ling.A synthetic‐aperture algorithm for ground‐penetrating radar imaging[J].Microwave and Optical Technology Letters,2004,42(5):412-414.
[8]Qin Yao,Wang Qifu.Kirchoff migration algorithm for ground penetrating radar data[C]//Computer Science and Electronics Engineering(ICCSEE),2012International Conference on IEEE.Hangzhou,2012:396-398.
[9]张二华,高林,马仁安,等.三维地震数据可视化原理及方法[J].CT理论与应用研究,2007,16(3):20-28.
[10]蔡维纬.二维地震数据可视化的研究与实现[D].昆明:云南大学,2013.
[11]肖汉.地震数据的可视化技术研究[D].长沙:湖南大学,2007.
[12]Salvador S,Chan P.Toward accurate dynamic time warping in linear time and space[J].Intelligent Data Analysis,2007,11(5):561-580.
[13]Keogh E,Kasetty S.On the need for time series data mining benchmarks:a survey and empirical demonstration[J].Data Mining and Knowledge Discovery,2003,7(4):349-371.
[14]程文聪,邹鹏,贾焰,等.基于DTW距离的伪周期数据流异常检测[J].计算机研究与发展,2010,47(5):893-902.
[15]陆薛妹,胡轶,方建安.基于分段极值DTW距离的时间序列相似性度量[J].微计算机信息,2007,23(9-3):204-206.
[16]王倩,吴国平,陈琳.特定人语音识别算法——DTW算法[J].软件导刊,2005,(20):46-48.
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