Abstract
Abstract. With the development of airborne LiDAR, the use of LiDAR point cloud to construct DEM model is a hot topic in recent years. For the characteristics of time cloud filtering and poor validity, and the efficiency of non-ground point filtering is not high, the filtered point cloud has problems such as errors and leaks. This paper proposes a method of constructing DEM based on the point cloud filtering algorithm of airborne Lidar point cloud data considering special terrain. The experiment proves that the algorithm of this paper is effective for establishing DEM model, and the quality of DEM model is good.
Highlights
Airborne Lidar Technology (LIDAR) is an active measurement method that can quickly acquire high-precision, high-density three-dimensional spatial information in large-area measurement areas[1]
The use of point cloud technology to generate DEM models is a development trend and an important step in point cloud data processing, which plays an indispensable role in the generation and application of subsequent digital products
How to effectively use the interpolation method to achieve high-precision DEM model has become an urgent problem in the case of reducing manual intervention
Summary
Airborne Lidar Technology (LIDAR) is an active measurement method that can quickly acquire high-precision, high-density three-dimensional spatial information in large-area measurement areas[1]. The degree of automation is high, and it is less affected by the weather. It can block through the woods, and the spatial and temporal resolution of the data is relatively high. The digital elevation model contains a wealth of surface and landform feature information, which is a digital description of the ground shape through the ruled discrete grid sampling data. It can simulate the surface undulations well using the limited data with elevation attributes[2]. How to effectively use the interpolation method to achieve high-precision DEM model has become an urgent problem in the case of reducing manual intervention
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