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A Tropical Cyclone Center Location Method Based on Satellite Image.

Qingxiang You1,2, Zhenqing Li2, Cheng Qian1

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This study introduces an automatic method for locating tropical cyclone centers using satellite imagery. The approach models cyclone structure circularly, enabling accurate detection for improved trajectory forecasting.

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Area of Science:

  • Meteorology
  • Remote Sensing
  • Computer Vision

Background:

  • Accurate tropical cyclone center detection is crucial for precise trajectory forecasting.
  • Existing methods may lack efficiency or robustness in diverse satellite image conditions.

Purpose of the Study:

  • To develop and validate an automated method for tropical cyclone center localization using satellite imagery.
  • To improve the accuracy and efficiency of tropical cyclone center identification for forecasting applications.

Main Methods:

  • Modeling tropical cyclone morphology using a circular pattern.
  • Utilizing regional pixel voting in a 2D accumulator for center identification.
  • Fitting quadratic and linear functions to determine center coordinates from voting data.

Main Results:

  • The proposed method successfully located tropical cyclone centers in both visible and infrared satellite images.
  • Results demonstrated good agreement when compared against official best track data from the Japan Meteorological Agency (JMA).

Conclusions:

  • The developed automatic method offers a reliable approach for tropical cyclone center detection.
  • This technique has the potential to enhance the accuracy of tropical cyclone trajectory forecasting.