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基于魚目攝像和地面激光雷達的真實葉面積指數(shù)計算

發(fā)布時間:2018-11-05 20:13
【摘要】:為了準確獲得冠層的真實葉面積指數(shù)(LAIa),本文提出了一種基于魚目攝像和地面激光雷達獲取半球圖像的計算方法.對魚目攝像機拍攝的圖片借助地理學(xué)上緯度線的概念來表征不同高度葉子的天頂角,通過統(tǒng)計學(xué)方法獲取葉傾角,分析半球圖像獲取孔隙率.根據(jù)Beer-Lambert定律即可計算有效葉面積指數(shù)(LAIe);真實葉面積指數(shù)的獲取則通過冠層的叢生系數(shù)來解決.激光掃描儀獲取的冠層點云數(shù)據(jù)則經(jīng)一定比例縮放在一個球的上表面,再通過球極平面投影和Lambert方位角等面積投影將上球面圖像投射到平面上,以獲取類似半球圖像.
[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.
【作者單位】: 南京林業(yè)大學(xué)信息科學(xué)與技術(shù)學(xué)院;
【基金】:國家自然科學(xué)基金(31300472) 江蘇省自然科學(xué)基金(BK2012418)
【分類號】:TN958.98

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