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松材线虫病有人机航空摄影监测模式初探——以松滋市为例 被引量:4

Surveillance Model of Organic Man-machine Aerial Photography for Pine Wilt Disease:A case of Songzi City in Hubei Province
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摘要 为进一步优化基于飞行平台开展松材线虫病监测普查的准确率,规范关键技术环节,本研究以松滋市松材线虫病疫区为监测对象,对松材线虫病有人机的航空摄影监测模式进行了探讨。有人机飞行平台应根据作业面积及当地气候条件适当进行选择,确保飞行的平稳度;航线设计上应以最节省航线长度为主,减少航线数,减少飞机掉头次数;航摄相机要与飞行平台相适应,能够实时矫正飞行姿态;进行飞行作业时必须制定详细飞行计划,确保飞行顺利。在完成飞行作业后,采用“同诚多光谱图像识别软件”进行影像自动识别,经现场核查验证,结果表明本次监测的总体精度达到81.6%。本研究的有人机航空摄影监测具有覆盖范围广、影像分辨率高、识别精度高、实施周期短、后期处理简便等特点,在以行政区域为单元的松材线虫病普查监测中具有较广阔应用前景。 In order to optimize the accuracy of pine wilt disease surveillance and general survey and standardize the key technical links based on the flight platform,this study took the endemic area of pine wilt disease in Songzi city as the monitoring object,and discussed the man-machine aerial photography surveillance mode of pine wilt disease.The man-machine flight platform should be appropriately selected according to the operating area and local climate conditions to ensure the smoothness of the flight.Route design should first consider the most economical route length,then the numbers of routes and aircraft u-turns.The aerial camera should adapt to the flight platform and be able to correct the flight attitude in real time.Detailed flight plans should be made during flight operations to ensure the smoothly flight.After the completion of the flight operation,the“Tongcheng multispectral image recognition software”was used for automatic image recognition.The on-site verification showed that the overall accuracy of the monitoring reached 81.6%.The man-machine aerial photographic monitoring in this study has the characteristics of wide coverage,high image resolution,high identification accuracy,short implementation period and simple post-processing,which has a broad application prospect in the general survey and monitoring of pine wilt disease based on administrative units.
作者 胡文杰 彭寿连 邓德峰 付甜 潘磊 毕艳岳 Hu Wenjie;Peng Shoulian;Deng Defeng;Fu Tian;Pan Lei;Bi Yanyue(Hubei Academy of Forestry,Wuhan 430075;Administrative Bureau of Shennongjia National Park,Shennongjia 442421;Hubei Tongcheng General Aviation Co.LTD,Jingzhou 434020;Shishou Nanyue Mountain Forest Park Management Institute,Shishou 434400)
出处 《湖北林业科技》 2022年第4期39-42,59,共5页 Hubei Forestry Science and Technology
基金 中央财政林业科技推广示范项目“松树病虫致死木航空遥感图像识别技术推广示范”(鄂[2022]TG16号)。
关键词 松材线虫病 有人机 遥感监测 松滋市 pine wilt disease man-machine plane remote sensing monitoring Songzi City
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