A novel algorithm for the objective detection of tropical cyclone centres using infrared satellite images

Xu, X; Liu, C; Liu, J

A novel algorithm for the objective detection of tropical cyclone centres using infrared satellite images

Xu, X

Liu, C Liu, J

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Publisher:: TAYLOR & FRANCIS LTD
Publication Type:: Journal Article
Citation:: Remote Sensing Letters, 2016, 7, (6), pp. 541-550
Issue Date:: 2016-06-02

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Field	Value	Language
dc.contributor.author	Xu, X https://orcid.org/0000-0002-3674-199X
dc.contributor.author	Liu, C
dc.contributor.author	Liu, J
dc.date.accessioned	2022-08-18T07:20:06Z
dc.date.available	2022-08-18T07:20:06Z
dc.date.issued	2016-06-02
dc.identifier.citation	Remote Sensing Letters, 2016, 7, (6), pp. 541-550
dc.identifier.issn	2150-704X
dc.identifier.issn	2150-7058
dc.identifier.uri	http://hdl.handle.net/10453/160461
dc.description.abstract	Tropical cyclones (TCs) are one of natures most destructive phenomena, and a key element in forecasting TC tracks is the ability to accurately detect TC centres. In this paper, a novel algorithm has been proposed to objectively detect TC centres using infrared satellite images. Pyramid representation and optical flow technique are utilized to construct the cloud motion wind (CMW) field of each cyclone, and thereafter the centre is determined by analysing the constructed CMW field. Ten TCs formed in the Northwestern Pacific Ocean in 2014 have been tested to evaluate the performance of the present method, and TC Halong and Rammasun were analysed in detail as instances. Experimental results comparing with forecast track derived from Unisys Weather show that the proposed method provides an accurate detection of TC centres. The present algorithm has a potential to be employed to assist forecasters to detect TC centres.
dc.language	English
dc.publisher	TAYLOR & FRANCIS LTD
dc.relation.ispartof	Remote Sensing Letters
dc.relation.isbasedon	10.1080/2150704X.2016.1165882
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	04 Earth Sciences, 08 Information and Computing Sciences
dc.title	A novel algorithm for the objective detection of tropical cyclone centres using infrared satellite images
dc.type	Journal Article
utslib.citation.volume	7
utslib.for	04 Earth Sciences
utslib.for	08 Information and Computing Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-18T07:20:04Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	7
utslib.citation.issue	6

Abstract:

Tropical cyclones (TCs) are one of natures most destructive phenomena, and a key element in forecasting TC tracks is the ability to accurately detect TC centres. In this paper, a novel algorithm has been proposed to objectively detect TC centres using infrared satellite images. Pyramid representation and optical flow technique are utilized to construct the cloud motion wind (CMW) field of each cyclone, and thereafter the centre is determined by analysing the constructed CMW field. Ten TCs formed in the Northwestern Pacific Ocean in 2014 have been tested to evaluate the performance of the present method, and TC Halong and Rammasun were analysed in detail as instances. Experimental results comparing with forecast track derived from Unisys Weather show that the proposed method provides an accurate detection of TC centres. The present algorithm has a potential to be employed to assist forecasters to detect TC centres.

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http://hdl.handle.net/10453/160461