节点文献
基于无人机遥感的伐区造林坑穴数量与参数提取
Number and Parameters Extraction of Tree Well Based on UAV Remote Sensing in Cutting Area
【摘要】 为了挖掘无人机遥感在核查造林成果中的应用潜力,采用无人机遥感技术对福建省将乐县一伐区造林坑穴数量和参数进行自动化提取实验。采用大疆精灵4 Pro型无人机,获取空间分辨率0.01 m的可见光遥感数据,经处理后得到正射影像(DOM)、数字表面模型(DSM)和无人机影像点云数据;分别采用基于DOM人工目视解译、基于DOM模板匹配法和基于DSM圆形霍夫变换法进行各类信息提取,比较各种方法在造林坑穴数量和宽度、深度参数提取上的精度和实用性。结果表明:基于DOM模板匹配法得到的坑穴数量正确率为92.60%。基于DSM数据的圆形霍夫变换法坑穴数量正确率为95.15%,坑穴宽度和深度提取值与测量值的决定系数(R~2)分别为0.93和0.92,均方根误差(RMSE)分别为1.02 cm和1.67 cm,该方法不仅可以得到优于模板匹配的数量精度,还可有效提取坑穴宽度和深度参数信息,提高了坑穴参数提取的效率。无人机遥感技术在提取坑穴数量、宽度和深度参数方面能够满足造林坑穴指标核查需求。
【Abstract】 In order to explore the application potential of unmanned aerial vehicle(UAV)remote sensing in the verification of afforestation results, unmanned aerial vehicle(UAV) remote sensing technique was used to extract the parameters and the number of tree well in a cutting area of Jiangle County, Fujian Province. Phantom 4 Pro UAV equipped with a digital camera was used to obtain 0.01 m resolution aerial images. DOM, DSM and point cloud data were acquired after pre-processing. They were interpreted by artificial visual interpretation, template matching method, circular Hough transform, respectively, by which all the parameters of tree well were extracted and then analyzed and the applicability and classification accuracy of each method was evaluated in the parameters extraction of tree well in afforestation project.The correctness of tree well number obtained by template matching was 92.60%. The correctness of holes number obtained by circular Hough transform was 95.15%.At the same time, the measurement of tree well width and depth got a good results with the R~2of 0.93 and 0.92, root mean square error(RMSE) values of 1.02 cm and 1.67 cm. It not only had high precision, and the results were consistent with template matching method, but also extracted the width and depth of tree well and improved the processing speed of big data.Remote sensing based on UAV could be used for number, width and depth parameters extraction of tree well. The circular Hough transform method could get precision parameters of tree well, which providing a technical plan for quality checking of tree well and extending UAVRS application in afforestation project.
【Key words】 tree well in afforestation project; unmanned aerial vehicle remote sensing; digital surface model; template matching; circular Hough transform;
- 【文献出处】 农业机械学报 ,Transactions of the Chinese Society for Agricultural Machinery , 编辑部邮箱 ,2021年12期
- 【分类号】TP751;S771.8
- 【被引频次】1
- 【下载频次】215