Quantitative Analysis on Pipelines from GPR Images Based on Improved Hough Transform (宇宙・航行エレクトロニクス)

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概要

• 論文の詳細を見る

• In this paper, we propose a quantitative analysis method to identify pipelines from GPR image. According to the wave form characteristics reflected from buried utilities, Hough Transform algorithm had been improved by adjusting transformation parameters. Combined with extraction of region of interest, the attribute of underground utilities, including position, depth and diameter, could be automatically identified. To illustrate the performances of the proposal, we conducted a thorough experimental study based on synthetic GPR images and real GPR data for pipelines detection. The results show that the improved HT algorithm exhibits robust and rapid recognition performance.

• 一般社団法人電子情報通信学会の論文
• 2011-11-17

著者

• Wu Jiansheng

  School Of Ocean & Earth Science Tongji University

• Wu Jiansheng

  School Of Material Science And Engineering Shanghai Jiaotong University

• Zhao Yonghui

  School of Ocean & Earth science, Tongji University

• Zhao Yonghui

  School Of Ocean & Earth Science Tongji University

• Jin Miao

  School Of Ocean & Earth Science Tongji University

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• Quantitative Analysis on Pipelines from GPR Images Based on Improved Hough Transform (宇宙・航行エレクトロニクス)
• Quantitative Analysis on Pipelines from GPR Images Based on Improved Hough Transform

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