Semi-Automated Maltese Front Position Determination

Abstract

We investigate the reliability of a semi-automated system designed to locate the Maltese front from satellite AVHRR and SAR imagery. The opening and closing operations of mathematical morphology afford a means of image segmentation that provides smooth strong, continuous edges except where the edges are obscured by clouds or similar phenomena. We evaluate the results by comparing them with front positions found by experienced Navy analysts. Our system provides an objective method for front location that is less labor intensive than manual methods currently in use.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1998
Accession Number
ADA363813

Entities

People

  • Matthew Lybanon
  • Suzanne M. Lea

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Chemistry
  • Control Systems
  • Detection
  • Detectors
  • Grids
  • Image Segmentation
  • Latitude
  • Longitude
  • Mediterranean Sea
  • Military Research
  • Pattern Recognition
  • Recognition
  • Remote Sensing
  • Sea Surface Temperature
  • Surface Roughness
  • Surface Temperature
  • Synthetic Aperture Radar

Readers

  • Combustion Dynamics and Shock Wave Physics.
  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects