BOOK-CHAPTER

Tropical Cyclone Center Determination Algorithm by Texture and Gradient of Infrared Satellite Image

Abstract

A novel algorithm for tropical cyclone (TC) center determination is presented by using texture and gradient of infrared satellite image from geostationary satellite. Except those latter disappearing TC satellite images that are little valuable to a TC center determination, generally other periods of TC, all have an inner core. And the centers are generally determined in the inner core. Based on this, an efficient TC center determination algorithm is designed. First, the inner core of a TC is obtained. Then, according to the texture and gradient information of the inner core, the center location of the TC is determined. The effectiveness of the proposed TC center determination algorithm is verified by using Chinese FY-2C stationary infrared satellite image. And the location result is compared with that of the "tropical cyclone yearbook," which was compiled by Shanghai Typhoon Institute of China Meteorological Administration. Experimental results show that the proposed algorithm can provide a new technique that can automatically determine the center location for a TC based on infrared satellite image.

Keywords:
Geostationary orbit Tropical cyclone Satellite Typhoon Remote sensing Center (category theory) Satellite image Infrared Algorithm Computer science Meteorology Geography Physics Optics

Metrics

2
Cited By
0.72
FWCI (Field Weighted Citation Impact)
14
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering

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