基于隐Markov模型和Bresenham算法的层位追踪法
doi: 10.3724/SP.J.1146.2008.00446
A Layer Picking Method Based on Hidden Markov Model and Bresenham Algorithm
-
摘要: 在探地雷达测量目的中，层位追踪是正确进行地质解释的基础。该文提出一种基于隐Markov模型和Bresenham算法的层位追踪法，该方法通过对探地雷达回波时延的跟踪，初步实现层位边缘检测，在此前提下进一步实现边缘连接，最终完成层位追踪。对实测数据的处理结果表明：该文提出的层位追踪法在追踪精确度上远远优于单纯利用隐Markov模型的层位追踪法。Abstract: Layer picking is the base of doing geological explanation correctly in geodesic aims of GPR. A layer picking based on hidden Markov model and Bresenham algorithm is presented in this paper. After tracking Time Of Delay (TOD) of GPR echoes, edge detection of layer is accomplished primarily. Basing on it, edge linking is come true and layer picking is accomplished at last. The results of dealing with actual data show that the layer picking method in this paper improves much on the precision of tracking comparing with layer picking only based on hidden Markov model.
-
陈洁. 超宽带雷达信号处理及成像方法研究. [博士论文], 中国科学院电子学研究所, 2007.[2]汪卫民. 高速公路界面检测与跟踪技术研究. [硕士论文], 中国民用航空学院, 2003.[3]Spagnolini U and Rampa V. Multitarget detection/trackingfor monostatic ground penetrating radar: Application topavement profiling[J].IEEE Trans. on Geoscience and RemoteSensing.1999, 37(1):383-394[4]Srinivasamurthy V. Model based signal processing algorithmfor MIDP GPR. [Master dissertation], Information andTelecommunication Technology Center, The University ofKansas, June 2005.[5]Streit R L and Barrett R F. Frequency line tracking usinghidden Markov models[J].IEEE Trans. on Acoustics, Speechand Signal Processing.1990, 38(4):586-598[6]Rampa V and Spagnolini U. Multitarget detection/trackingof echoes with known waveform: algorithm and applications.Proc. ICASSP, Munich, Germany, 1997, 1: 487-490.[7]Nicoli M, Rampa V, and Spagnolini U. Hidden Markov modelfor multidimensional wavefront tracking[J].IEEE Trans. onGeoscience and Remote Sensing.2002, 40(1):651-662[8]Bresenham J E. Algorithm for computer control of a digitalplotter[J].IBM Systems Journal.1965, 4(1):25-30 -
计量
- 文章访问数: 3230
- HTML全文浏览量: 95
- PDF下载量: 884
- 被引次数: 0
下载:
