Paper
21 September 2004 Baseline signature data for multisensor (EM/GPR) algorithmic development
Author Affiliations +
Abstract
A government-funded effort was initiated to further develop algorithms based on the technology used in the U.S. Army’s latest handheld standoff mine detection system (HSTAMIDS). To this end, a complete multisensor (EM/GPR) baseline signature data set was acquired in the spring of 2003 over targets of interest for landmine detection. These were provided at a government-run test site in the eastern U.S. where hundreds of buried inert mines and discrete clutter objects are available for such signature measurements. Bringing the HSTAMIDS detector technology to this site, in conjunction with a tethered data acquisition hardware and platforms, resulted in a complete baseline multisensor signature data collection. Due to the multisensor nature of the HSTAMIDS technology, the properties of this data collection include total and real-time collocation of electromagnetic and radar sensors. Processed examples of signatures of objects of interest from this baseline signature data set are presented here, along with a summary of the use to which this data set has been put so far. The means for future requests for access to the baseline data set by individual researchers for further algorithm work are also detailed.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard Walls, Denis Michael Reidy, and Christine Lee "Baseline signature data for multisensor (EM/GPR) algorithmic development", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.541520
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data acquisition

Sensors

Algorithm development

Mining

Robots

Land mines

Radar

Back to Top