Modeling Detailed Cloud Scene from Multi-source Images

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

Abstract

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.

Citation

Cen, Y., Liang, X., Chen, J., Yang, B., & Li, F. W. (2018, December). Modeling Detailed Cloud Scene from Multi-source Images. Presented at Pacific Graphics, Hong Kong

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Pacific Graphics
• 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,
• DOI: https://doi.org/10.2312/pg.20181278
• Public URL: https://durham-repository.worktribe.com/output/1143057
• Related Public URLs: https://diglib.eg.org/handle/10.2312/pg20181278