摘要
以无人船在上海潘泾地区的水下实测数据为例,选取五种插值模型,运用交叉验证和图像对比等方法,分析插值模型在不同地形下的适用性与插值特点,并提出一种能够根据测量区域表面粗糙度自动选择插值方法的改进插值流程算法.结果表明,插值模型误差与地表粗糙度呈空间正相关,测区内不同地表粗糙度对应的最优插值模型不同,改进插值流程的算法能够有效提高样本整体插值精度,对水下DEM插值模型的选择具有一定的指导意义.
In this work,the underwater topography of the Panjing River in Shanghai,China is measured by an unmanned surface vessel.The precision and applicability of five different interpolation methods for different underwater landform are analyzed through cross-validation and image comparison.Based on the analysis results,an integrated approach is proposed which automatically selects the appropriate interpolation method according to the different surface roughness in the surveying area.The results show that there is a positive correlation between the interpolation error and the terrain surface roughness,but the accuracy of five interpolation methods varies with different surface roughness.The integrated approach can improve the overall interpolation precision and provide a reference for the selection of interpolation methods for underwater DEM data.
作者
秦世伟
孙炎
武亚军
QIN Shiwei;SUN Yan;WU Yajun(Department of Civil Engineering,Shanghai University,Shanghai 200444,China)
出处
《扬州大学学报（自然科学版）》
CAS
北大核心
2021年第2期24-29,60,共7页
Journal of Yangzhou University：Natural Science Edition
基金
国家自然科学基金资助项目(41772303)。
关键词
无人船
数字高程模型
插值模型
地表粗糙度
unmanned surface vessel
DEM
interpolation model
surface roughness
作者简介
联系人:武亚军,E-mail:wyjdldz@shu.edu.cn.
