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作 者:曹来 CAO Lai(Wuhan Tianheng Information Technology Co.,Ltd.,Wuhan,Hubei 430062,China)
机构地区:[1]武汉天恒信息技术有限公司,湖北武汉430062
出 处:《自动化应用》2023年第11期27-30,共4页Automation Application
摘 要:为提升对森林资源的估测精度,制定合理的森林营林策略,本文以湖北省武汉市九峰国家森林公园的部分森林区域为研究区,对无人机测绘技术在森林资源蓄积量研究估测中的应用展开研究。首先从无人机要求、无人机参数设置、无人机搭载相机要求和无人机飞行控制程序4个方面说明无人机绘测技术;然后从无人机绘测图片拼接、图片滤波去噪、测绘图像坐标转换3个方面说明无人机探测图像数据处理方法;最后从株数因子提取、树高因子提取、建立调查因子与蓄积量回归模型和精度估算4个方面说明森林资源蓄积量估测方法。估测结果显示,研究区蓄积量估算精度为64.4%,整体蓄积量估算精度为85.0%,满足森林资源蓄积量估测精度,但株数因子提取环节存在部分漏检或多检情况,导致估算精度有所下降,需进一步完善株数因子提取环节的数学模型精度。In order to improve the estimation accuracy of forest reso urces and formulate reasonable forest management strategies,this paper takes part of the forest areas of Jiufeng National Forest Park in Wuhan,Hubei Province as the research area,and studies the application of UAV mapping technology in the estimation of forest resource stock.Firstly,UAV mapping technology is explained from four aspects:UAV requirements,UAV parameter settings,UAV camera requirements and UAV flight control procedures.Then,the data processing methods of UAV detection images are described from three aspects:Picture stitching,image filtering and denoising,coordinate conversion of surveying and mapping images.Finally,the estimation method of forest resources stock was explained from four aspects:Plant number factor extraction,tree height factor extraction,establishment of investigation factor and stock regression model,and precision estimation.The estimation results showed that the estimation accuracy of forest resources stock in the study area was 64.4%,and that of the whole stock was 85.0%,which met the estimation accuracy of forest resources stock.However,some missing or multiple tests occurred in the process of plant number factor extraction,leading to a decrease in the accuracy of the estimation,so it is necessary to further improve the accuracy of mathematical model in the process of plant number factor extraction.
分 类 号:P231[天文地球—摄影测量与遥感]
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