A Layer Picking Method Based on Hidden Markov Model and Bresenham Algorithm
Yu Yan-nong①②; Fang Guang-you①
①Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;②Graduate University of the Chinese Academy of Sciences, Beijing 100039, China
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.