A Layer Picking Method Based on Hidden Markov Model and Bresenham Algorithm

Yu Yan-nong; Fang Guang-you

doi:10.3724/SP.J.1146.2008.00446

Volume 31 Issue 5

Dec. 2010

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Yu Yan-nong, Fang Guang-you. A Layer Picking Method Based on Hidden Markov Model and Bresenham Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1140-1143. doi: 10.3724/SP.J.1146.2008.00446

Citation:

Yu Yan-nong, Fang Guang-you. A Layer Picking Method Based on Hidden Markov Model and Bresenham Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1140-1143. doi: 10.3724/SP.J.1146.2008.00446

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A Layer Picking Method Based on Hidden Markov Model and Bresenham Algorithm

doi: 10.3724/SP.J.1146.2008.00446

Yu Yan-nong^{①②;方广有},
Fang Guang-you

Received Date: 2008-04-17
Rev Recd Date: 2008-10-20
Publish Date: 2009-05-19

Abstract

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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References(1)

References

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