Advanced Signal Analysis for Forensic Applications of Ground Penetrating Radar

Conference · Tue Jun 01 00:00:00 EDT 2004

OSTI ID:831233

Koppenjan, Steven ^[1]; Streeton, Matthew; Lee, Hua; Lee, Michael; Ono, Sashi

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1. Bechtel Nevada

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.

• Research Organization: Bechtel Nevada Corporation (US)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA) (US)
• DOE Contract Number: AC08-96NV11718
• OSTI ID: 831233
• Report Number(s): DOE/NV/11718--874
• Country of Publication: United States
• Language: English

Related Subjects

47 OTHER INSTRUMENTATION
CRIME DETECTION
DATA ANALYSIS
GROUND PENETRATING RADAR
OBJECT RECOGNITION
NEURAL NETWORKS
FORENSICS
SIGNAL ANALYSIS
NEURAL NETWORKS
PATTERN RECOGNITION
PERFORMANCE
RADAR
SIGNALS
STATISTICS
TRAINING