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Proceedings Paper

Automatic center location of non-eyed typhoon in satellite cloud image
Author(s): Zhengguang Liu; Haiming Qiu; Bing Wu; Gary Guixiong Shen
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Paper Abstract

Typhoon can be classified into two classes: eyed typhoon and non-eyed typhoon. The center of a non-eyed typhoon with good circularity is the geometric center of the cloud system and the center of a non-eyed typhoon with bad circularity can be located in the high grayness value area near the side of the greater grayness gradient sector. A new mathematical morphology-based algorithm is proposed to automatically achieve the center location of a non-eyed typhoon. Multispectral image fusion of infrared spectrum and water vapor spectrum is used to verify the result of locating the typhoon center. For a given infrared satellite cloud image, the locating steps are as followed: a) noises removing, b) main cloud systems segmenting, c) center locating and d) multispectral image fusion verification. The experimental results show that the algorithm locates the centers of most non-eyed typhoons successfully.

Paper Details

Date Published: 28 May 2003
PDF: 8 pages
Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); doi: 10.1117/12.473057
Show Author Affiliations
Zhengguang Liu, Tianjin Univ. (China)
Haiming Qiu, Tianjin Univ. (China)
Bing Wu, Tianjin Univ. (China)
Gary Guixiong Shen, The Univ. of Hong Kong (China)


Published in SPIE Proceedings Vol. 5014:
Image Processing: Algorithms and Systems II
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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