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
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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.
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