Advanced Signal Analysis for Forensic Applications of Ground Penetrating Radar

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Ground penetrating radar (GPR) systems have traditionally been used to image subsurface objects. The main focus of this paper is to evaluate an advanced signal analysis technique. Instead of compiling spatial data for the analysis, this technique conducts object recognition procedures based on spectral statistics. The identification feature of an object type is formed from the training vectors by a singular-value decomposition procedure. To illustrate its capability, this procedure is applied to experimental data and compared to the performance of the neural-network approach.

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362 Kilobytes pages

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Koppenjan, Steven; Streeton, Matthew; Lee, Hua; Lee, Michael & Ono, Sashi June 2004.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 130 times , with 11 in the last month . More information about this article can be viewed below.

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Description

Ground penetrating radar (GPR) systems have traditionally been used to image subsurface objects. The main focus of this paper is to evaluate an advanced signal analysis technique. Instead of compiling spatial data for the analysis, this technique conducts object recognition procedures based on spectral statistics. The identification feature of an object type is formed from the training vectors by a singular-value decomposition procedure. To illustrate its capability, this procedure is applied to experimental data and compared to the performance of the neural-network approach.

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362 Kilobytes pages

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OSTI as DE00831233

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  • 10th International Conference on Ground Penetrating Radar, Delft (NL), 06/2004

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  • Report No.: DOE/NV/11718--874
  • Grant Number: AC08-96NV11718
  • Office of Scientific & Technical Information Report Number: 831233
  • Archival Resource Key: ark:/67531/metadc781977

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  • June 2004

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  • Dec. 3, 2015, 9:30 a.m.

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  • June 17, 2016, 1:53 p.m.

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Koppenjan, Steven; Streeton, Matthew; Lee, Hua; Lee, Michael & Ono, Sashi. Advanced Signal Analysis for Forensic Applications of Ground Penetrating Radar, article, June 2004; Nevada. (digital.library.unt.edu/ark:/67531/metadc781977/: accessed November 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.