Severe Storm Pattern Recognition from Meteorological Satellite Data. A Report on Current Status and Prospects.

Abstract

This report presents the results of a preliminary study on severe storm feature recognition from visible and infrared meteorological satellite data. Pattern recognition models are reviewed and satellite-derived features for various categories of severe weather are enumerated and described. The detection and tracking of severe storm features are discussed in terms of cloud classification and segmentation, cloud geometry, and cloud tracking. The current status and potential feasibility of pattern recognition techniques for severe storm featuree identification are assessed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1977
Accession Number
ADA042446

Entities

People

  • Jo Ann Parikh
  • Laveen N. Kanal

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Climate Change
  • Cloud Cover
  • Computers
  • Cross Correlation
  • Detection
  • Grids
  • Image Processing
  • Information Science
  • Latent Heat
  • Meteorology
  • Pattern Recognition
  • Sea Surface Temperature
  • Surface Temperature
  • Surveys
  • Temperature Gradients
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Space
  • Space - Space Objects