The Potential Impact of Hyperspectral Imagery on Amphibious Warfare Planning

Abstract

Military image analysts primarily use panchromatic and radar images to aid situational awareness in preparing a mission plan. Although analysts rely on these two formats, there are situations where these two sensors are unable to detect potential threats, i.e., buried mines. The Department of Defense has proposed using a hyperspectral sensor to detect threats that otherwise may not be detected by existing sensors. In order to determine the utility of hyperspectral imagery for mission planning, a task analysis was conducted at two Joint Intelligence Centers to measure image analysts' preferences to infrared, radar, panchromatic, and hyperspectral imagery during an amphibious planning process. The results showed that the image analysts were most confident using panchromatic imagery for the majority of the planning tasks; however, the analysts exhibited uncertainty for other tasks, such as detecting buried mines. Further analysis showed that image analysts could reduce their uncertainty in detecting buried mines and producing bathymetric maps by using hyperspectral imagery. Although hyperspectral imagery reduced uncertainty during mission planning, operators report that this imagery is confusing. To integrate hyperspectral imagery in mission planning, image analysts must be trained to interpret a hyperspectral scene and understand how to exploit its spectral characteristics.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1999
Accession Number
ADA375913

Entities

People

  • Keith W. Maly

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Amphibious Operations
  • Cognition
  • Computational Science
  • Detection
  • Detectors
  • Electromagnetic Radiation
  • Electromagnetic Spectra
  • Geography
  • Hyperspectral Imagery
  • Information Processing
  • Military Applications
  • Military Science
  • Pattern Recognition
  • Psychology
  • Remote Sensing
  • Warfare

Readers

  • Computer Vision.
  • Joint Military Operations and Doctrine.
  • Sensor Fusion and Tracking Systems.