Cloud Pattern Classification from Visible and Infrared Data.

Abstract

This report describes progress in the development of the area classification portion of a computer vision system for cloud pattern analysis. The ultimate goal of the vision system is to extract meteorologically significant cloud regions from a time sequence of dual-channel geosynchronous satellite images. The question explored by this paper is to what extend single-stage and multistage statistical pattern recognition techniques may be employed in the classification of clouds from a single dual-channel image. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1976
Accession Number
ADA033037

Entities

People

  • Joann Parikh

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Advanced Electronics
  • Human Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Satellites
  • Computer Vision
  • Computers
  • Cumulonimbus Clouds
  • Databases
  • Dual Channel
  • Geosynchronous Satellites
  • Identification
  • Information Science
  • Measurement
  • Pattern Recognition
  • Recognition
  • Statistics
  • Sun
  • Universities
  • Wind Velocity

Readers

  • Atmospheric Science/Meteorology
  • Combustion and Flow Dynamics.
  • Computer Vision.

Technology Areas

  • AI & ML
  • Space
  • Space - Space Objects