3D Cloud and Storm Reconstruction from Satellite Image

Somporn Chuai-Aree (), Willi Jäger (), Hans Georg Bock (), Susanne Krömker (), Wattana Kanbua () and Suchada Siripant ()
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Somporn Chuai-Aree: University of Heidelberg, Interdisciplinary Center for Scientific Computing (IWR)
Willi Jäger: University of Heidelberg, Interdisciplinary Center for Scientific Computing (IWR)
Hans Georg Bock: University of Heidelberg, Interdisciplinary Center for Scientific Computing (IWR)
Susanne Krömker: University of Heidelberg, Interdisciplinary Center for Scientific Computing (IWR)
Wattana Kanbua: Thai Meteorological Department
Suchada Siripant: Chulalongkorn University, Phayathai, Advanced Virtual and Intelligent Computing (AVIC)

A chapter in Modeling, Simulation and Optimization of Complex Processes, 2008, pp 187-206 from Springer

Abstract: Abstract The satellite images in Asia are produced every hour by Kochi University, Japan (URL http://weather.is.kochi-u.ac.jp/SE/00Latest.jpg). They show the development of cloud or storm movement. The sequence of satellite images can be combined to show animation easily but it is shown only from the top-view. In this paper, we propose a method to condition the 2D satellite images to be viewed from any perspective angle. The cloud or storm regions are analyzed, segmented and reconstructed to 3D cloud or storm based on the gray intensity of cloud properties. The result from reconstruction can be used for a warning system in the risky area. Typhoon Damrey (September 25 - 27, 2005) and typhoon Kaitak (October 29 - November 1, 2005) are shown as a case study of this paper. Other satellite images can be conditioned by using this approach as well.

Keywords: Satellite Image; Volume Rendering; Gradient Length; Remote Sensing Symposium; Virtual Height (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1007/978-3-540-79409-7_12

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