Transition from Research to Operations: ARKTOS-A Knowledge-Based Sea Ice Classification System

Abstract

ARKTOS is a fully automated intelligent system that classifies sea ice and that is now being used by the U.S. National Ice Center (NIC) for daily operations related to the NIC's task of mapping the ice covered oceans. In this paper we describe the process of taking a research project and transitioning it to an operational environment. We discuss the theoretical methodologies implemented in ARKTOS, and how ARKTOS was developed, tested, and finally moved to operations.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA365856

Entities

People

  • Cheryl Bertoia
  • Costas Tsatsoulis
  • Denise Gineris
  • Kim Partington
  • Leen-kiat Soh

Organizations

  • U.S. National Ice Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Beaufort Sea
  • Classification
  • Computer Science
  • Computer Vision
  • Data Sets
  • Electrical Engineering
  • Electronic Mail
  • Engineering
  • Feature Extraction
  • Geographic Regions
  • Heuristic Methods
  • Ice
  • Image Segmentation
  • Military Research
  • Oceans
  • Sea Ice
  • Statistical Shape Models

Readers

  • Artificial Intelligence
  • Combustion Dynamics and Shock Wave Physics.
  • Polar and Arctic Studies