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当前位置: 首页 > 文章 > 果树冠层三维点云颜色矫正方法研究 农业机械学报 2015 (1) 27-34
Position: Home > Articles > Research of 3D Points Cloud Color Correction Method for Fruit Tree Canopy Transactions of the Chinese Society for Agricultural Machinery 2015 (1) 27-34

果树冠层三维点云颜色矫正方法研究

作  者：
郭彩玲;宗泽;张雪;马晓丹;刘刚
单  位：
黑龙江八一农垦大学信息技术学院;中国农业大学现代精细农业系统集成研究教育部重点实验室
关键词：
果树冠层;三维点云;颜色矫正;多元线性回归
摘  要：
针对地面三维激光扫描仪在室外环境下获取果树冠层三维点云信息的复杂性,以及三维点云的颜色和真实颜色存在较大色差问题,提出了一种三维点云颜色矫正方法。通过计算Pearson系数和Spearman相关系数,确定扫描点的R、G、B分别与太阳辐射值、TCCR24标准颜色测试板与地面夹角θ、TCCR24标准颜色测试板不同色块颜色、扫描质量、光线方向变量之间均存在相关关系。利用统计学方法,在置信度为95%时,建立R、G、B分量的双重筛选逐步回归模型。利用建立的回归模型,矫正三维点云颜色。采用该方法对室外果树冠层三维点云进行颜色矫正实验,结果表明,利用建立的颜色矫正回归模型,三维点云颜色R、G、B与真实颜色R、G、B的相关度由矫正前的低于0.69提高到0.90以上,颜色矫正后的标准差明显由矫正前的高于50%降到低于13%。该方法可为地面三维扫描仪获取较准确的三维点云的彩色信息提供理论依据。
译  名：
Research of 3D Points Cloud Color Correction Method for Fruit Tree Canopy
作  者：
Guo Cailing;Zong Ze;Zhang Xue;Ma Xiaodan;Liu Gang;Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University;Department of Electromechanical Engineering,Tangshan University;
关键词：
Fruit tree canopy;;3D point cloud;;Color correction;;Multiple linear regression
摘  要：
There are large differences between the actual colour of fruit trees canopy and the point cloud from the ground three-dimensional laser scanner in the complex outdoors environment. In order to solve this problem,a new color correction method for color correction was proposed. Firstly,the Pearson coefficient and Spearman correlation coefficient were calculated to make sure that there are relationships among the R,G,B values of the scanning spot and the R,G,B values of the 24-Patch Color Checker Chart Classic,the solar radiation values,the angle θ between 24-Patch Color Checker Chart Classic and the earth,scan quality,and light direction variables. And then,with confidence level of 95%,an R,G,B components multiple regression model was established by using the dual-sifting stepwise regression in statistical method. Lastly,the model was used to correct three-dimensional points cloud colors. The experiment results show that, using the three-dimensional point correlation regression model, the correlation coefficient between the three-dimensional point cloud color R,G,B value and the real R,G,B values increased from less than 0. 69 to above 0. 90 after correction,and color-corrected standard deviation fell significantly from above 50% to below 13%. The method could be used to provide a theoretical basis for terrestrial laser scanning to obtain more accurate three-dimensional color points cloud.

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