基于图像技术的温室光分布研究

温室内光照环境对作物生长有重要影响，然而受温室形状、方位、覆盖材料、天气等各因素的影响，温室内光分布一直是研究的难点。该文提出基于计算机视觉技术和基于图像的光照技术来采集温室内真实环境的光分布，通过高动态范围图像的制作，以及从图像中的光源信息的提取，得到温室内光分布的辐射度图，该图能够真实反映不同天气情况下以及一天中不同时刻、不同方向的光照强度分布，能较好地模拟场景周围的自然光照。该研究将为温室内复杂光源分布的获取和作物冠层顶部入射辐射的研究提供准确的光照模型。

Image-based light environment distribution in greenhouse

Light is a key environmental factor for crop growth. However the study on light environment in greenhouse has been a difficulty for the researchers because of effects of complex factors from greenhouse structure, orientation, greenhouse glazing and so on. This paper presented an image-based method to investigate the light distribution in real greenhouse by using the computer vision technology. The method was described in detail which including creating a high dynamic range(HDRI), recovering light information from HDRI image, and getting the radiance map of greenhouse light distribution. This radiance map can reflect the distribution of light intensity at different moment and different orientation for one day as well as under different weather case, which can obtain a better fitting result against natural light environment. This research work will not only provide a novel method to obtain complex light distribution, but also provide a more accurate illumination model for incident radiation of crop canopy.