| DOI: | 10.2172/984150
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| 报告号: | SAND2010-0901
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| 报告题名: | Sensor integration study for a shallow tunnel detection system. |
| 作者: | Yee, Mark L.; Abbott, Robert E.; Bonal, Nedra; Elbring, Gregory Jay; Senglaub, Michael E.
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| 出版年: | 2010
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| 发表日期: | 2010-02-01
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| 总页数: | 43
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| 国家: | 美国
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| 语种: | 英语
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| 英文关键词: | Tunneling.
; Nuclear facilities-Surveillance operations.
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| 中文主题词: | 环境噪声
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| 主题词: | AMBIENT NOISE
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| 英文摘要: | During the past several years, there has been a growing recognition of the threats posed by the use of shallow tunnels against both international border security and the integrity of critical facilities. This has led to the development and testing of a variety of geophysical and surveillance techniques for the detection of these clandestine tunnels. The challenges of detection of these tunnels arising from the complexity of the near surface environment, the subtlety of the tunnel signatures themselves, and the frequent siting of these tunnels in urban environments with a high level of cultural noise, have time and again shown that any single technique is not robust enough to solve the tunnel detection problem in all cases. The question then arises as to how to best combine the multiple techniques currently available to create an integrated system that results in the best chance of detecting these tunnels in a variety of clutter environments and geologies. This study utilizes Taguchi analysis with simulated sensor detection performance to address this question. The analysis results show that ambient noise has the most effect on detection performance over the effects of tunnel characteristics and geological factors. |
| URL: | http://www.osti.gov/scitech/servlets/purl/984150
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/40013
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| 984150.pdf（731KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
Yee, Mark L.,Abbott, Robert E.,Bonal, Nedra,et al. Sensor integration study for a shallow tunnel detection system.. 2010-01-01.
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