Detecting Chemical and Biological Munitions Using Infrared Imaging Systems, Advanced Image Processing and Feature Extraction Methods, and Linguistic-Fuzzy Classifiers

Abstract

This report is one in a series of reports describing the Disparate Sensor Integration (DSI) program. The purpose of the program is to determine if employment of CB weapons can be detected by existing (non-CB) sensors in a dual use mode. Specifically, this report describes how an existing Air Force IR imager can successfully discriminate between HE and CB artillery rounds during detonation. The report also describes how a newly developed data fusion technique, the Liguistic Fuzzy Logic, can be used to fuse together several discriminating features of the IR images to achieve this discrimination with a high degree of reliability. The reliability of the discrimination exceeds 90%. In addition, we are able to determine if the CB round detonated in the air or upon ground impact. This information is important for estimating the footprint of the chemical/biological plume.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2004
Accession Number
ADA426597

Entities

People

  • Amnon Birenzvige
  • Bruce N. Nelson

Organizations

  • Edgewood Chemical Biological Center

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artillery Ammunition
  • Data Analysis
  • Data Fusion
  • Data Sets
  • Detection
  • Detectors
  • Detonations
  • Discrimination
  • Extraction
  • Feature Extraction
  • Fuzzy Logic
  • Image Processing
  • Machine Learning
  • Munitions
  • Standards
  • Video Frames

Readers

  • Computer Vision.
  • Critical Infrastructure Protection in CBRN and WMD Threats.
  • Munitions and Ordnance Engineering

Technology Areas

  • AI & ML