Detection of Mines Using Hyperspectral Analysis.

Abstract

This study focuses on the development of computer algorithms that can be used for automatic mine detection using hyperspectral imagery. These algorithms perform a pixel-by-pixel comparison of the scene spectra with the spectrum of a mine. The goal is to assign to every pixel a scale factor which gives the relative probability of finding a mine. Algorithms were tested on simulated data taken from the NPS Middle Ultraviolet Spectrograph (MUSTANG). Three computer methods are tested and relative results were compared. This analysis suggests that the potential exists to use these methods in military applications. The ability to identify features in an image based solely on their spectral signature provides a new dimension to imagery interpretation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1996
Accession Number
ADA311744

Entities

People

  • Dimitrios Nikolaidis

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Automatic
  • Computers
  • Detection
  • Diffraction
  • Electromagnetic Spectra
  • Hyperspectral Imagery
  • Mathematics
  • Military Applications
  • Probability
  • Spectra
  • Spectrographs
  • Wave Phenomena

Readers

  • Astronomy and Astrophysics.
  • Computer Vision.
  • Munitions and Ordnance Engineering