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A Tropical Cyclone Center Location Method Based on Satellite Image
Accurately detecting and locating the center of the tropical cyclone is critical for the trajectory forecasting. This study proposed an automatic method for centers' location of the tropical cyclones based on the visible or the infrared satellite images. The morphological structure of the tropi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923770/ https://www.ncbi.nlm.nih.gov/pubmed/35300393 http://dx.doi.org/10.1155/2022/3747619 |
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author | You, Qingxiang Li, Zhenqing Qian, Cheng Wang, Tian |
author_facet | You, Qingxiang Li, Zhenqing Qian, Cheng Wang, Tian |
author_sort | You, Qingxiang |
collection | PubMed |
description | Accurately detecting and locating the center of the tropical cyclone is critical for the trajectory forecasting. This study proposed an automatic method for centers' location of the tropical cyclones based on the visible or the infrared satellite images. The morphological structure of the tropical cyclone is modeled using the circular pattern. The tropical cyclone center is located based on regional pixels instead of skeleton points. All pixels in a segmented cloud cluster vote for a 2-dimensional accumulator. The center of the cloud cluster is computed by the mean voting distances, which are calculated by fitting quadratic functions in every column of the two-dimensional (2D) accumulator. Then, a linear function is fitted according to the functional relationship between the mean voting distance and voting angle. The fitted coefficients of the linear function are the center coordinates of the tropical cyclone. The proposed method for centers location of the tropical cyclones is tested using visible and infrared satellite images. The results of center location are compared with the best track provided in JMA datasets. |
format | Online Article Text |
id | pubmed-8923770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-89237702022-03-16 A Tropical Cyclone Center Location Method Based on Satellite Image You, Qingxiang Li, Zhenqing Qian, Cheng Wang, Tian Comput Intell Neurosci Research Article Accurately detecting and locating the center of the tropical cyclone is critical for the trajectory forecasting. This study proposed an automatic method for centers' location of the tropical cyclones based on the visible or the infrared satellite images. The morphological structure of the tropical cyclone is modeled using the circular pattern. The tropical cyclone center is located based on regional pixels instead of skeleton points. All pixels in a segmented cloud cluster vote for a 2-dimensional accumulator. The center of the cloud cluster is computed by the mean voting distances, which are calculated by fitting quadratic functions in every column of the two-dimensional (2D) accumulator. Then, a linear function is fitted according to the functional relationship between the mean voting distance and voting angle. The fitted coefficients of the linear function are the center coordinates of the tropical cyclone. The proposed method for centers location of the tropical cyclones is tested using visible and infrared satellite images. The results of center location are compared with the best track provided in JMA datasets. Hindawi 2022-03-08 /pmc/articles/PMC8923770/ /pubmed/35300393 http://dx.doi.org/10.1155/2022/3747619 Text en Copyright © 2022 Qingxiang You et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article You, Qingxiang Li, Zhenqing Qian, Cheng Wang, Tian A Tropical Cyclone Center Location Method Based on Satellite Image |
title | A Tropical Cyclone Center Location Method Based on Satellite Image |
title_full | A Tropical Cyclone Center Location Method Based on Satellite Image |
title_fullStr | A Tropical Cyclone Center Location Method Based on Satellite Image |
title_full_unstemmed | A Tropical Cyclone Center Location Method Based on Satellite Image |
title_short | A Tropical Cyclone Center Location Method Based on Satellite Image |
title_sort | tropical cyclone center location method based on satellite image |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923770/ https://www.ncbi.nlm.nih.gov/pubmed/35300393 http://dx.doi.org/10.1155/2022/3747619 |
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