摘要
近年来,随着无人机和图像处理等新兴技术的发展,新技术克服了传统林业灾害监测中存在的诸多缺点,具有显著优势。但这些新兴技术尚未出现经典解决方案,在设备选型、数据处理等许多环节仍存在较高的技术门槛。文中通过收集整理国内外相关研究成果,从无人机林业灾害监测技术发展历程、机载传感器选择、图像处理技术流程等方面总结该技术应用关键点,以期为相关研究提供参考。
In recent years,the emerging technologies such as UAV and image processing have solved and overcome many shortcomings in traditional forest disaster monitoring and have significant advantages.However,these emerging technologies have not yet provided classical solutions,and there are still high technical barriers in many aspects such as equipment selection,data processing and so on.Therefore,through collecting and reviewing the relevant research literature at home and abroad,this paper summarizes the key points of the application of UAV to forestry disaster monitoring from the aspects of the development history of UAV application in forestry disaster monitoring,selection of airborne sensors,and image processing technology process,in order to provide references for relevant research.
作者
张严风
赵璠
寇卫利
黄鹏桂
Zhang Yanfeng;Zhao Fan;Kou Weili;Huang Penggui(College of Big Data and Intelligent Engineering,Southwest Forestry University,Kunming 650224,China)
出处
《世界林业研究》
CSCD
北大核心
2020年第2期62-67,共6页
World Forestry Research
基金
国家自然科学基金(31870551)
云南省农业基础研究联合专项(2018FG001-097)
西南林业大学科研启动基金(111807)。
