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Modeling Detailed Cloud Scene from Multi-source Images

Cen, Yunchi; Liang, Xiaohui; Chen, Junping; Yang, Bailin; Li, Frederick W.B.


Yunchi Cen

Xiaohui Liang

Junping Chen

Bailin Yang


Hongbo Fu

Abhijeet Ghosh

Johannes Kopf


Realistic cloud is essential for enhancing the quality of computer graphics applications, such as flight simulation. Data-driven method is an effective way in cloud modeling, but existing methods typically only utilize one data source as input. For example, natural images are usually used to model small-scale cloud with details, and satellite images and WRF data are used to model large scale cloud without details. To construct large-scale cloud scene with details, we propose a novel method to extract relevant cloud information from both satellite and natural images. Experiments show our method can produce more detailed cloud scene comparing with existing methods.


Cen, Y., Liang, X., Chen, J., Yang, B., & Li, F. W. (2018). Modeling Detailed Cloud Scene from Multi-source Images. In H. Fu, A. Ghosh, & J. Kopf (Eds.), Pacific graphics short papers, (49-52).

Conference Name Pacific Graphics
Conference Location Hong Kong
Acceptance Date Aug 3, 2018
Online Publication Date Oct 8, 2018
Publication Date Oct 8, 2018
Deposit Date Oct 30, 2019
Pages 49-52
Book Title Pacific graphics short papers,
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