Simultaneous spline approximation and topographic analysis for lidar elevation data in open-source GIS

被引：82

作者：

Mitasova, H ^{[1
]}

Mitas, L

Harmon, RS

机构：

[1] N Carolina State Univ, Raleigh, NC 27695 USA

[2] USA, Res Off, Army Res Lab, Res Triangle Pk, NC 27709 USA

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2005年 / 2卷 / 04期

基金：

美国国家科学基金会;

关键词：

change detection; lidar; open-source geographic information system (GIS); spline; topographic analysis;

D O I：

10.1109/LGRS.2005.848533

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Application of a spline approximation method to computation and analysis of lidar-based digital elevation models is investigated to determine its accuracy and capability to create surfaces at different levels of detail. Quadtree segmentation that adapts to the spatial heterogeneity of data points makes the method feasible for large datasets. The results demonstrate the importance of smoothing for the surface accuracy and noise reduction. A tension parameter is effective for tuning the level of detail in the elevation surface. Simultaneous computation of topographic parameters is applied to extraction of sand dunes' features for assessment of dune migration and beach erosion.

引用

页码：375 / 379

页数：5

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