Clutter and target discrimination in forward-looking ground penetrating radar using sparse structured basis pursuits

Joseph A. Camilo, Jordan M. Malof, Peter A. Torrione, Leslie M. Collins, Kenneth D. Morton

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Forward-looking ground penetrating radar (FLGPR) is a remote sensing modality that has recently been investigated for buried threat detection. FLGPR offers greater standoff than other downward-looking modalities such as electromagnetic induction and downward-looking GPR, but it suffers from high false alarm rates due to surface and ground clutter. A stepped frequency FLGPR system consists of multiple radars with varying polarizations and bands, each of which interacts differently with subsurface materials and therefore might potentially be able to discriminate clutter from true buried targets. However, it is unclear which combinations of bands and polarizations would be most useful for discrimination or how to fuse them. This work applies sparse structured basis pursuit, a supervised statistical model which searches for sets of bands that are collectively effective for discriminating clutter from targets. The algorithm works by trying to minimize the number of selected items in a dictionary of signals; in this case the separate bands and polarizations make up the dictionary elements. A structured basis pursuit algorithm is employed to gather groups of modes together in collections to eliminate whole polarizations or sensors. The approach is applied to a large collection of FLGPR data for data around emplaced target and non-target clutter. The results show that a sparse structure basis pursuits outperforms a conventional CFAR anomaly detector while also pruning out unnecessary bands of the FLGPR sensor.

Original languageEnglish
Title of host publicationDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XX
EditorsJason C. Isaacs, Steven S. Bishop
PublisherSPIE
ISBN (Electronic)9781628415704
DOIs
StatePublished - 2015
EventDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XX - Baltimore, United States
Duration: Apr 20 2015Apr 23 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9454
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XX
Country/TerritoryUnited States
CityBaltimore
Period04/20/1504/23/15

Keywords

  • Forward looking
  • GPR
  • Ground penetrating radar
  • Landmine detection
  • Signal processing

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