Modelling full-colour images of Earth: simulation of radiation brightness field of Earth’s atmosphere and underlying surface

IF 2.7 Q1 GEOGRAPHY Annals of GIS Pub Date : 2023-01-02 DOI:10.1080/19475683.2022.2064911
V. Khokhlov, V.Ye. Lukin, Sergey Khokhlov
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引用次数: 1

Abstract

ABSTRACT This article is dedicated to the problem of realistic colour rendering of space object images using the tools of computer graphics. In the form of a short essay, the authors describe the essence, sources and functionality of modern graphics applications. Particular attention is paid to the application of modern graphics in space science. The specific purpose of the study is the use of computer graphics in the field of remote sensing of the Earth’s surface. This article describes a method for synthesizing images to develop realistic 3D models of colour Earth images in the visible spectral range, observed from geostationary orbits. The method is based on the improved model of atmospheric radiation for arbitrary sighting conditions in an inhomogeneous spherical atmosphere. Physical models of horizontally inhomogeneous distributions of atmospheric density, temperature and albedo of the Earth were improved. All calculations were performed in accordance with the model of molecular scattering of radiation in a spherical atmosphere, taking into account sunlight forward-scattering and reflection from the planet’s surface. This allows us to obtain images of the Earth in its various phases, observed from arbitrary heights. The obtained theoretical colour images of the Earth were compared with black and white images from modern geostationary satellites.
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模拟地球的全彩图像:模拟地球大气和下垫面的辐射亮度场
本文致力于利用计算机图形学的工具对空间物体图像进行逼真的色彩渲染问题。以短文的形式,作者描述了现代图形应用程序的本质、来源和功能。特别注意现代图形学在空间科学中的应用。研究的具体目的是利用计算机图形学在地球表面遥感领域的应用。本文描述了一种合成图像的方法,以开发从地球静止轨道观测到的可见光谱范围内的彩色地球图像的逼真三维模型。该方法基于改进的非均匀球形大气中任意瞄准条件下的大气辐射模型。改进了地球大气密度、温度和反照率水平非均匀分布的物理模型。所有的计算都是根据球形大气中辐射的分子散射模型进行的,同时考虑了来自行星表面的阳光前向散射和反射。这使我们能够从任意高度观测到地球不同阶段的图像。得到的地球理论彩色图像与现代地球静止卫星的黑白图像进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of GIS
Annals of GIS Multiple-
CiteScore
8.30
自引率
2.00%
发文量
31
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