摘要
长江洲滩由于潮水涨落、汛期前后水位流速等因素导致洲滩泥沙流失淤积快速变化,由于洲滩影像大面积落水、精度不高等原因,利用传统航测遥感技术获取的影像更多仅限于二维平面的定量变化分析。本文基于高分辨率的无人机倾斜摄影技术对落成洲洲滩演变进行高精度三维实景建模,生成点云并进行滤波分类,利用2期三维模型提取三维地面点云数据生成DEM,通过叠加分析定量检测出洲滩每个格网的高程变化,并且准确统计监测区域内泥沙淤积与流失量及相对应面积分布,从而为掌握长江洲滩演变规律与疏浚治理提供理论依据。
Due to the tide fluctuation,water level and velocity around flood season and other factors,the silt erosion and siltation of the Yangtze River beach changes rapidly.The images obtained by traditional aerial survey and remote sensing technology are more limited to the quantitative change analysis of the two-dimensional plane because of the large-scale covered with water of the beach images,accuracy,and other reasons.Based on the high-resolution UAV oblique photography technology,this paper makes a high-accuracy three-dimensional real scene modeling of the evolution of the Yangtze River beach,generates point clouds,and carries out filtering classification.Three-dimensional ground point cloud data is extracted by two-phase three-dimensional model to generate DEM,and the elevation change of each grid in the beach is quantitatively detected by superposition analysis,and the amount of silt deposition and loss and the corresponding area distribution in the monitoring area are accurately counted,thus providing the basis for the monitoring and management of the Yangtze River beach.
作者
赵培
赵美玲
郑亚运
ZHAO Pei;ZHAO Meiling;ZHENG Yayun(Jiangsu Engineering Exploration&Surveying Institute Co.,Ltd.,Yangzhou 225000,China)
出处
《测绘与空间地理信息》
2023年第1期180-182,共3页
Geomatics & Spatial Information Technology
关键词
长江洲滩
三维建模
点云分类
DEM
Yangtze River beach
three-dimensional modeling
classification of point clouds
DEM
