ARKTOS: A Knowledge-Based Sea Ice Classification System,

Abstract

The ARKTOS (Advanced Reasoning using Knowledge for Typing of Sea Ice) system is a sea ice classification system that incorporates image processing and Artificial Intelligence (Al) to analyze RADARSAT Synthetic Aperture Radar (SAR) images. As shown in Figure 1, ARKTOS first segments the input image using Watershed region growing technique based on image gradients, and subsequently merges regions based on area, average intensity, and strength of common boundaries. ARKTOS then computes attributes for each contiguous region (henceforth, feature) such as area, perimeter, average intensity, and circularity. Given these measurements, facts regarding each feature are formed by quantizing the values into symbols. For example, if the feature's average intensity is less than 50.0, then intensity (feature) = black. The decision points (or thresholds) were determined and refined via visual inspection of features.

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Document Details

Document Type
Technical Report
Publication Date
Jul 22, 1999
Accession Number
ADA365775

Entities

People

  • Bruce Ramsay
  • Cheryl Bertoia
  • Costas Tsatsoulis
  • Leen-kiat Soh

Organizations

  • University of Kansas

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Classification
  • Computer Science
  • Electrical Engineering
  • Engineering
  • Expert Systems
  • Ice
  • Image Processing
  • Inspection
  • Intensity
  • Knowledge Based Systems
  • Military Research
  • Open Water
  • Sea Ice
  • Synthetic Aperture Radar
  • Visual Inspection

Readers

  • Geodesy
  • Polar and Arctic Studies
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference