Method for modeling cumulus cloud scene based on Landsat8 satellite image

Abstract

The invention discloses a method for modeling the cumulus cloud scene based on a Landsat8 satellite image, belongs to the field of computer graphics, and can automatically construct the geometrical shape and the extinction coefficient of a cumulus cloud from the Landsat8 satellite image. The method comprises the steps of firstly, differentiating image pixels into two types which are cumulus cloud and earth surface through the difference of cloud and earth surface in an visible image and a long-wave infrared image, secondly, computing the height of cloud top through the linear relation between the temperature and the height of the cumulus cloud, further estimating the height of cloud base, then computing the optical thickness of the cloud through a bi-directional reflectance function, further computing the extinction coefficient of the cloud, and finally optimizing the shape of the cloud, performing sampling at the interior of the cloud, and forming a particle model of the cloud and performing drawing. The method has the advantages that a remote sensing theory is introduced to guide the construction of the cumulus cloud scene, the facticity and the fidelity of the cumulus cloud scene can be effectively improved, the modeling process is completely automatic, and the efficiency is high.

Description

technical field [0001] The invention belongs to the field of computer graphics, in particular to the field of cloud modeling, in particular to a method for modeling cumulus scenes based on Landsat8 satellite images. Background technique [0002] As a common natural phenomenon, clouds have ever-changing shapes, and the process of formation, development and dissipation is extremely complex. Cloud modeling has always been a challenging task. Classical cloud modeling methods are roughly divided into two categories, namely, process-based methods and physical simulation-based methods. The former mainly uses fractal theory and noise texture to model the shape of clouds, and can build realistic clouds, but the modeling process relies on frequent parameter adjustments. In order to reduce or even avoid parameter setting, researchers began to try a method based on physics simulation, that is, to simulate the cloud generation process by simulating simplified fluid motion equations. Ph...

AI Technical Summary

Problems solved by technology

However, their method is not suitable for modeling cumulus

On the one hand, it is difficult to record cumulus information in low-resolution satellite images, and on the other hand, because the method relies on parameter settings, the error in geometric thickness is too large, even exceeding the typical size of cumulus clouds

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