Physics based modeling and rendering of vegetation in the thermal infrared

J.A. Smith, J.R. Ballard
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引用次数: 6

Abstract

We outline a procedure for rendering physically-based thermal infrared images of simple vegetation scenes. Our approach incorporates the biophysical processes that affect the temperature distribution of the elements within a scene. Computer graphics plays a key role in two respects. First, in computing the distribution of scene shaded and sunlit facets and, second, in the final image rendering once the temperatures of all the elements in the scene have been computed. We illustrate our approach for a simple corn scene where the three-dimensional geometry is constructed based on measured morphological attributes of the row crop. Statistical methods are used to construct a representation of the scene in agreement with the measured characteristics. Our results are quite good. The rendered images exhibit realistic behavior in directional properties as a function of view and sun angle. The root-mean-square error in measured versus predicted brightness temperatures for the scene was 2.1 deg C.
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基于物理的热红外植被建模与渲染
我们概述了一个程序,以绘制基于物理的简单植被场景的热红外图像。我们的方法结合了影响场景中元素温度分布的生物物理过程。计算机图形学在两个方面起着关键作用。首先,计算场景阴影和阳光照射面的分布,其次,在最终的图像渲染中,一旦场景中所有元素的温度被计算出来。我们用一个简单的玉米场景来说明我们的方法,其中三维几何结构是基于行作物的测量形态属性构建的。使用统计方法来构建与测量特征一致的场景表示。我们的结果很好。渲染的图像在方向属性上表现出真实的行为,作为视图和太阳角度的函数。该场景的实际亮度温度与预测亮度温度的均方根误差为2.1摄氏度。
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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