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OBJECT RECOGNITION BY GROUND-PENETRATING RADAR IMAGING SYSTEMS WITH TEMPORAL SPECTRAL STATISTICS

International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California / This paper describes a new approach to object recognition by using ground-penetrating radar (GPR)
imaging systems. The recognition procedure utilizes the spectral content instead of the object shape
in traditional methods. To produce the identification feature of an object, the most common spectral
component is obtained by singular value decomposition (SVD) of the training sets. The
identification process is then integrated into the backward propagation image reconstruction
algorithm, which is implemented on the FMCW GPR imaging systems.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/604925
Date10 1900
CreatorsOno, Sashi, Lee, Hua
ContributorsUniversity of California
PublisherInternational Foundation for Telemetering
Source SetsUniversity of Arizona
Languageen_US
Detected LanguageEnglish
Typetext, Proceedings
RightsCopyright © International Foundation for Telemetering
Relationhttp://www.telemetry.org/

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