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基于鱼目摄像和地面激光雷达的真实叶面积指数计算

发布时间:2018-11-05 20:13
【摘要】:为了准确获得冠层的真实叶面积指数(LAIa),本文提出了一种基于鱼目摄像和地面激光雷达获取半球图像的计算方法.对鱼目摄像机拍摄的图片借助地理学上纬度线的概念来表征不同高度叶子的天顶角,通过统计学方法获取叶倾角,分析半球图像获取孔隙率.根据Beer-Lambert定律即可计算有效叶面积指数(LAIe);真实叶面积指数的获取则通过冠层的丛生系数来解决.激光扫描仪获取的冠层点云数据则经一定比例缩放在一个球的上表面,再通过球极平面投影和Lambert方位角等面积投影将上球面图像投射到平面上,以获取类似半球图像.
[Abstract]:In order to accurately obtain the true leaf area index (LAIa),) of the canopy, this paper presents a method for obtaining hemispherical images based on fish order photography and ground lidar. With the help of the concept of latitude line in geography, the images taken by the fish order camera were used to characterize the zenith angle of leaves with different heights. The obliquity of leaves was obtained by statistical method, and the porosity of hemispherical images was analyzed. According to Beer-Lambert 's law, the effective leaf area index (LAIe);) can be calculated by the cluster coefficient of the canopy. The canopy cloud data obtained by laser scanner are scaled to the upper surface of a sphere by a certain scale, and then the spherical image is projected onto the plane by the spherical pole plane projection and the Lambert azimuth projection to obtain the similar hemispherical image.
【作者单位】: 南京林业大学信息科学与技术学院;
【基金】:国家自然科学基金(31300472) 江苏省自然科学基金(BK2012418)
【分类号】:TN958.98

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