基于图像自动识别算法研究草地植被盖度高度的方法  

STUDY ON THE METHOD OF GRASSLAND VEGETATION COVERAGE HEIGHT BASED ON IMAGE AUTOMATIC RECOGNITION ALGORITHM

作　　者：赵宏毅[1] 赵晓英[1] ZHAO Hong-yi(Xilinhot National Climate Observatory,Xilinhaote Inner Mongolia 026000,China)

机构地区：[1]锡林浩特国家气候观象台,内蒙古锡林浩特026000

出　　处：《青海草业》2020年第3期2-8,共7页Qinghai Prataculture

摘　　要：基于锡林浩特国家气候观象台自行研发的草原生态气象自动观测系统,该系统利用摄影测量学技术,采用动态跟踪法实现牧草高度和盖度自动化观测。文章通过RGB色彩体系线性化模型的建立计算出牧草盖度;根据凸透镜成像原理建立牧草自然高度算法模型。该模型计算精度较高,观测的牧草盖度精度大大提升,并对模型进行验证。结果表明:该模型与实际高度的相对误差不超过4%,牧草盖度计算误差小于1%,其测量精度远远高于人工目测结果。Based on the grassland ecometeorological automatic observation system developed by Xilinhot National Climate Observatory,the system uses photogrammetry technology and dynamic tracking method to realize the automatic observation of grass height and coverage.In this paper,the grass coverage is calculated through the establishment of RGB color system linear model.According to the convex lens imaging principle,the algorithm model of herbage natural height was established.The accuracy of the model is high,and the accuracy of grass coverage is greatly improved.The results show that the relative error between the model and the actual height is less than 4%,the calculation error of forage coverage is less than 1%,and the measurement accuracy is much higher than the results of manual visual inspection.

关 键 词：图像 模型建立 高度 盖度 

分 类 号：S812.1[农业科学—草业科学]