基于无人机影像的山地人工林景观DEM构建  

The Construction of DEM in Mountain Plantation Landscape based on UAV Images

作　　者：柴子为[1] 康峻[2,3] 王力[2] 赵昕[3] 乔海浪 

机构地区：[1]广东省环境监测中心,广东广州510045 [2]中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京100101 [3]中国科学院大学,北京100049

出　　处：《遥感技术与应用》2015年第3期504-509,共6页Remote Sensing Technology and Application

基　　金：国家高技术研究发展计划(2014AA06A511;2012AA12A304);中国科学院遥感与数字地球研究所研究生所长基金(Y4SY0900CX)

摘　　要：山地人工林景观的DEM构建是对景观地形信息进行描述的基础的研究内容,也是人工林景观面积、结构、蓄积量等信息提取的重要因子,具有重要的研究意义。通过无人机平台获取影像,采用立体像对拼接的方式生成正射影像并提取DEM信息,并与GPS测量数据、ASTER GDEM、SRTM数据进行比较分析。结果表明:在该区域无人机影像构建的DEM与实测高程差距最小(RMSE=8.96),具有比ASTER GDEM(RMSE=13.68)和SRTM(RMSE=11.81)更高的精度;在每个样方内的最大高程差值与最大树高最为接近(RMSE=1.813),说明无人机DEM能够反映出更多的冠层与地面分层信息,在山地人工林景观DEM构建中表现出较大潜力。The construction of DEM in mountain plantation landscape,is the basic content of describing landscape topography,plays an important role in extracting information of plantation landscape such as size,structure and living stock volume,the study has important significance.In this paper,orthophotos and DEM were extracted based on images captured by UAV platform by means of splicing stereo pairs,and were compared with GPS measured data,ASTER GDEM data and SRTM data.The result shows that,the DEM extracted based on UAV images has the closest difference with GPS measured result(RMSE=8.96),which has higher precision than ASTER GDEM(RMSE=13.68)and SRTM(RMSE=11.81)data;The closest result(RMES=1.813)of max tree heights and max elevation differences in each sample plot,shows that UAV DEM has an ability to reflect more hierarchical information between canopy and ground,which shows a greater potential in the construction of DEM in mountain plantation landscape.

关 键 词：DEM 无人机 人工林 景观 正射影像 

分 类 号：P901[天文地球—自然地理学] P237