Mr. Chunqiang Yuan Profile

Chunqiang Yuan

at BeiHang Univ

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PROCEEDINGS ARTICLE | March 4, 2015

An efficient framework for modeling clouds from Landsat8 images

Proc. SPIE. 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014)

KEYWORDS: Infrared imaging, Landsat, Data modeling, Satellites, Image segmentation, Clouds, Satellite imaging, Infrared radiation, Atmospheric modeling, Earth observing sensors

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Cloud plays an important role in creating realistic outdoor scenes for video game and flight simulation applications. Classic methods have been proposed for cumulus cloud modeling. However, these methods are not flexible for modeling large cloud scenes with hundreds of clouds in that the user must repeatedly model each cloud and adjust its various properties. This paper presents a meteorologically based method to reconstruct cumulus clouds from high resolution Landsat8 satellite images. From these input satellite images, the clouds are first segmented from the background. Then, the cloud top surface is estimated from the temperature of the infrared image. After that, under a mild assumption of flat base for cumulus cloud, the base height of each cloud is computed by averaging the top height for pixels on the cloud edge. Then, the extinction is generated from the visible image. Finally, we enrich the initial shapes of clouds using a fractal method and represent the recovered clouds as a particle system. The experimental results demonstrate our method can yield realistic cloud scenes resembling those in the satellite images.

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