Multispectral Image Enhancement Reveals Kuwaiti Oil Plumes

Abstract

Absorbing of incoming solar radiation at visible wavelengths, oil smoke is nearly invisible over water on many environmental satellite images. To improve the detectability of smoke, the authors construct bispectral composites from images from the NOAA Advanced Very High Resolution Radiometer (AVHRR). These composites are constructed from a ratio between AVHRR channels 1 and 2. While neither channel by itself shows smoke overwater, the ratio image often depicts smoke quite distinctly. The authors discuss an interactive program on a computer workstation which enables even an untrained user to develop further enhancements using this ratio image.... Remote sensing, Artificial intelligence, Data assimilation, Satellite data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA261315

Entities

People

  • James Samuel Clark
  • Maureen Thompson
  • Thomas F. Lee

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Satellites
  • Case Studies
  • Combustion
  • Computer Science
  • Computers
  • Condensation Trails
  • Databases
  • Detection
  • Fires
  • Military Research
  • Oil Wells
  • Persian Gulf
  • Radiation
  • Relational Databases
  • Remote Sensing
  • Solar Radiation

Readers

  • Atmospheric Remote Sensing.
  • Computer Vision.
  • Database Systems and Applications

Technology Areas

  • AI & ML
  • Space