Statistical Signal Processing for Demining: Continuation and Field Evaluation

Abstract

In this program, we investigated basic questions of interest to NVESD regarding landmine detection phenomenology, and developed algorithms for robust landmine detection for a variety of sensors, with primary focus on NIITEK radar-based sensors. We have developed a highly effective "pre-screener" algorithm that has been tested on several field sites, blind tests, and several offroad sites. The performance of the algorithm on the blind tests were outstanding, and in conjunction with the radar one to two orders of magnitude improvement in false alarm rates over other deployed systems. This prescreener has been transitioned to NIITEK so that they can code it in their real-time processing.

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Document Details

Document Type
Technical Report
Publication Date
Dec 22, 2008
Accession Number
ADA498587

Entities

People

  • Leslie M. Collins
  • Peter A. Torrione

Organizations

  • Duke University

Tags

Communities of Interest

  • Counter IED
  • Human Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Anomaly Detection
  • Change Detection
  • Data Processing
  • Detection
  • Detectors
  • False Alarms
  • Ground Penetrating Radar
  • Image Processing
  • Radar
  • Remote Sensing
  • Signal Processing
  • Students
  • Supervised Machine Learning
  • Three Dimensional
  • Two Dimensional
  • Warning Systems

Readers

  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design