%0 Journal Article
%T A Layer Picking Method Based on Hidden Markov Model and Bresenham Algorithm<br>基于隐Markov模型和Bresenham算法的层位追踪法
%A Yu Yan-nong
%A Fang Guang-you
%A <br>俞燕浓
%A 方广有
%J 电子与信息学报
%D 2009
%I 
%X 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.
%K Ground Penetrating Radar (GPR)
%K Layer picking
%K Hidden Markov Model(HMM)
%K Bresenham algorithm<br>探地雷达(GPR)
%K 层位追踪
%K 隐Markov
%K Bresenham算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=62D3178E7403078C9BAC9D3918A9294D&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=94C357A881DFC066&sid=D932AD0F8FDA3032&eid=CF89D3C02791C82E&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=8