作　　者： (李长春）; (牛庆林）; (杨贵军）; (冯海宽）; (刘建刚）; (王艳杰）;

机构地区： 河南理工大学测绘与国土信息工程学院,焦作454000

出　　处： 《农业机械学报》 2017年第8期147-158,共12页

摘　　要： 利用低成本的无人机(Unmanned aerial vehicle,UAV)高清数码影像获取系统,于2016年7—9月在山东省济宁市嘉祥县圣丰大豆育种基地,获取大豆育种材料试验区的R1-R2、R3、R5-R6共3个关键生育期的高清数码影像,首先利用高清数码影像中的黑白定标布,对数码影像的DN(Digital number,DN)值进行归一化标定,并构建标定的18个数码影像变量,然后基于900个育种小区的叶面积指数实测数据构建大豆育种材料叶面积指数的一元线性回归、逐步回归、全子集回归、偏最小二乘回归、支持向量机回归和随机森林回归模型,最后基于模型建立和验证的决定系数(R^2)、均方根误差(RMSE)和归一化的均方根误差(nRMSE)3个指标,筛选估测叶面积指数的最佳模型。研究表明,全子集回归模型中采用4个数码影像变量B、RGBVI、GLA和B/(R+G+B)的多元线性回归模型对大豆育种材料叶面积指数的解析精度最优,模型建立的R^2、RMSE和nRMSE分别为0.69、0.99和17.90%,验证模型的R^2、RMSE和nRMSE分别为0.68、1.00和18.10%。结果表明,以无人机为遥感平台,搭载低成本的高清数码相机,利用高清数码影像进行大豆育种材料LAI估测是可行的,可以快速、有效、无损地获取大豆育种材料的长势信息,为筛选高产大豆品种提供一种低成本的可行方法。 Soybean is an important source of protein and fat. The increase of soybean yield is playing a significant role in guaranteeing food security and satisfying market demanding. Therefore,rapid screening of soybean varieties with high yield and quality is of great significance to increase the total output of soybean. Leaf area index（ LAI）,which refers to the gross one-sided leaf area per surface area,is one of the critical phenotypic parameters to characterize crop canopy structure, and it has an important significance to evaluate crop photosynthesis,growth and predict yield. A rapid,non-destructive and efficient estimation of soybean LAI can assist the screening of high-yield varieties. Currently,lots of soybean breeding material plots is one the difficulties in soybean breeding, but traditional manual investigation method is time-consuming,inefficient job with certain degree of subjectivity. Unmanned aerial vehicle（ UAV） remote sensing technology has become a research focus on precision agriculture application. It features the advantages of easy construction,low operation and maintenance cost and flexible mobility,and has been used to realize rapid,non-destructive,spatial continuous crop growth monitoring and crop yield estimation. Researches based on low-cost UAV high spatial resolution digitalimages to estimate crop phenotypic parameters mainly focused on the crop cultivation and management sector. However,there are few researches on crop breeding. The high spatial resolution digital images of the Shengfeng academician workstation of soybean breeding experiment located in Jiaxiang County,Jining City,Shandong Province,China from July to September in 2016 were acquired using a low-cost UAV digital camera system. The obtained UAV data contained the high spatial resolution images of growth periods of R1-R2,R3 and R5-R6. At the same time,the average LAI values of 900 breeding plots on the ground were obtained. Firstly,the digital orthophoto map（ DOM） was generated. The generated DOM was calibrated using th

关 键 词： 大豆育种材料 叶面积指数 标定 无人机 数码影像 全子集回归