摘要
树冠因子是森林资源主要调查因子之一,无人机航空摄影测量技术作为近年来发展起来的快速获取高分辨率影像的遥感新技术。为解决树冠实测耗时费力且无法充分使用新调查技术来满足森林资源调查新要求的问题,以多旋翼无人机搭载倾斜相机获取的研究区航测影像为研究数据,利用面向对象多尺度分割技术提取树木冠幅和树冠顶点信息并与人工量测数据进行精度评定。实验表明,采用无人机影像进行林木树冠因子提取,总体效果较好,具有一定可操作性,且与实地调查相比,成本低、耗时短,且灵活性好,值得森林资源大规模调查广泛推广。
Canopy factor is a main investigation factor of forest resources.In recent years,the technology of UAV aerial photogrammetry has been developed as a new remote sensing technology for rapid acquisition of high-resolution images.This study is aimed at solving the problems that the canopy measurement is time-consuming and laborious and cannot fully use the new survey technology to meet the new requirements of forest resource survey.The research data is the aerial survey image of the research area acquired by the multi-rotor drone equipped with a tilt camera.Tree crown width and crown apex information are extracted by object-oriented multi-scale segmentation technology.The evaluates accuracy is analyzed by manual measurement data.It shows that the extraction of forest tree crown factors has a good overall effect by using UAV images and has a certain operability.Compared with the manual field surveys,the cost is lower,the time-consuming is shorter,and the flexibility is higher.This technology is worthy of being widely promoted in large-scale forest resource surveys.
作者
马忠卫
MA Zhong-wei(Geological Survey of Jiangsu Province,Nanjing Jiangsu 210018,China)
出处
《现代测绘》
2022年第2期34-37,共4页
Modern Surveying and Mapping
基金
淮安市自然资源调查试点(清江浦)。
关键词
无人机影像
树冠
冠幅
多尺度分割
精度
UAV image
tree crown
crown width
multi-scale segmentation
accuracy
