Knowledge-based picture understanding of weather charts

Rin ichiro Taniguchi, Masao Yokota, Eiji Kawaguchi, Tuneo Tamati

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


This paper describes a knowledge-based weather chart understanding system named WERP, which is working as a picture processing part of our Information understanding System Of BAsic weather Report (ISOBAR). WERP is designed to extract necessary information from a weather chart for generating weather report sentences explaining the chart. This system is based on a structural model of the weather charts. Here, we study what problems are involved in weather chart understanding, how they are solved and how an actual system is organized. Also, picture-processing techniques for weather chart processing and some experimental studies are considered.

Original languageEnglish
Pages (from-to)109-123
Number of pages15
JournalPattern Recognition
Issue number1
Publication statusPublished - 1984

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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