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基于无人机影像的森林信息获取研究进展
引用本文:李祥,郑淯文,戴楚彦,林文树.基于无人机影像的森林信息获取研究进展[J].世界林业研究,2017,30(4):41-46.
作者姓名:李祥  郑淯文  戴楚彦  林文树
作者单位:东北林业大学工程技术学院, 哈尔滨 150040
基金项目:中央高校基本科研业务费专项资金项目(2572016CB10);国家自然科学基金(31500587)。
摘    要:随着无人机技术的不断发展,其在林业中的应用越来越广泛。无人机航空摄影作为高分影像的重要获取方式,具有成本低、效率高、时效性强等特点,己逐渐成为森林资源调查与监测的新途径。研究者已不再满足于无人机影像在森林资源分类和空间分析等方面的应用研究,而是开始关注单木树高、胸径、冠幅等具体树木信息的获取以及森林信息量化等方面的研究。文中综述近几年无人机在森林结构参数、生物量、蓄积量、立木材积表、林区规划、树木空间分布以及三维建模等方面的研究进展,并对无人机在森林信息获取中的研究和应用提出建议。

关 键 词:无人机    航空影像    森林结构参数    三维重建
收稿时间:2016/12/23 0:00:00
修稿时间:2017/4/13 0:00:00

Research Progress of Forest Information Acquisition Based on Unmanned Aerial Vehicle (UAV) Image
Li Xiang,Zheng Yuwen,Dai Chuyan and Lin Wenshu.Research Progress of Forest Information Acquisition Based on Unmanned Aerial Vehicle (UAV) Image[J].World Forestry Research,2017,30(4):41-46.
Authors:Li Xiang  Zheng Yuwen  Dai Chuyan and Lin Wenshu
Affiliation:College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China
Abstract:With the continuous development of unmanned aerial vehicle technology, its application in forestry sector is increasingly wide. As an important way to obtain high resolution images, aerial photography of unmanned aerial vehicle (UAV) has gradually become a new way to investigate and monitor forest resources, with the characteristics of low cost, high efficiency and strong time limited. Researchers have no longer satisfied with the application of unmanned aerial vehicle image in forest resource classification and spatial analysis, but cast their focus on specific trees information retrieval such as single tree height, diameter at breast height and crown breadth as well as quantitative information of forest. The paper reviewed the research on unmanned aerial vehicles in recent years especially in forest structure parameters, biomass, forest stock volume, timber volume table, forest planning, spatial distribution of trees and three-dimensional modeling. Finally, some suggestions were proposed for the study and application of unmanned aerial vehicle in forest information acquisition.
Keywords:unmanned aerial vehicle  image  forest structural parameter  three-dimensional reconstruction
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