干旱区生态环境知识资源中心(Arid): 无人机载激光雷达(LiDAR)沙丘特征线信息自动提取技术研究

Arid

	无人机载激光雷达(LiDAR)沙丘特征线信息自动提取技术研究
其他题名	Extraction of dune feature lines based on UAV - based LiDAR
	宋张亮; 高志海; 孙斌; 秦朋遥; 李长龙
来源期刊	干旱区资源与环境
ISSN	1003-7578
出版年	2019
卷号	33 期号:12 页码:165-171
中文摘要	沙丘移动是风蚀荒漠化的重要表征之一,而沙丘形态参数变化是沙丘移动的具体表现。针对目前沙丘形态参数提取中存在的地面测量过程沙丘形态易受破坏、普通光学影像难以获得沙丘三维信息等问题,文中以甘肃民勤西沙窝为研究区,利用无人机载激光雷达(LiDAR)数据,基于沙丘沙脊线和坡脚线处剖面曲率变化特征,发展了一种沙丘特征线自动提取算法。与地面实测数据的验证结果表明:该算法提取精度较高,沙脊线和坡脚线偏差为0.53m和0.52m,沙丘高度的实测值与估测值之间的R~2达到了0.993,RMSE为0.2326m。基于无人机载激光雷达数据开展算法研发是实现沙丘特征线自动提取有效途径,能够为区域沙丘移动监测和防沙治沙等荒漠化防治工作提供科学数据和技术支持。
英文摘要	Dunes movement is one of the important performances of wind erosion desertification,and the variation of dune's geomorphologic parameters is the specific manifestation of dunes movement. In view of the technological shortage in the dunes geomorphologic parameters extraction,such as the shape of dunes is easily damaged by the ground measurement and the three - dimensional information of dunes could not be obtained by common optical photogrammetry images,etc. Taking Xishawo,Minqin County,Gansu Province as the study areas,an automatic algorithm for dunes'feature lines extraction was developed based on the analysis of the curvature variation characteristics of the ridge lines and slope foot lines of dunes by using the UAV LiDAR data. Compared with the measured data,results show that the proposed algorithm has a high accuracy for dune's geomorphologic parameters extraction,the deviation between dune's ridge length and slope foot length are 0.53m and 0.52m respectively, and the R~2 between measured and estimated height of dunes is 0.993,and RMSE is 0.2326. Development of an algorithm based on UAV LiDAR data is an effective way to extract the feature lines of dunes automatically. It can provide scientific data and technical support for regional dunes movement monitoring,desertification control and other desertification control work.
中文关键词	无人机 ; 激光雷达 ; 数字高程模型 ; 沙丘特征线
英文关键词	Unmanned Aerial Vehicle (UAV) Light Detection And Ranging (LiDAR) Digital Elevation Model(DEM) dune feature lines
语种	中文
收录类别	CSCD
WOS类目	ENGINEERING AEROSPACE
WOS研究方向	Engineering
CSCD记录号	CSCD:6633055
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315943
作者单位	中国林业科学研究院资源信息研究所, 北京 100091, 中国
推荐引用方式 GB/T 7714	宋张亮,高志海,孙斌,等. 无人机载激光雷达(LiDAR)沙丘特征线信息自动提取技术研究[J],2019,33(12):165-171.
APA	宋张亮,高志海,孙斌,秦朋遥,&李长龙.(2019).无人机载激光雷达(LiDAR)沙丘特征线信息自动提取技术研究.干旱区资源与环境,33(12),165-171.
MLA	宋张亮,et al."无人机载激光雷达(LiDAR)沙丘特征线信息自动提取技术研究".干旱区资源与环境 33.12(2019):165-171.