A fast approach to generate large-scale topographic maps based on new Chinese vehicle-borne Lidar system

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Youmei, Han^1,2 ; Bogang, Yang^2

School of Earth and Space Sciences, Peking University, Beijing, China^1

Beijing Institute of Surveying and Mapping, Beijing, China^2

关键词: Accuracy analysis;    High efficient;    ITS applications;    New technologies;    Photogrammetry methods;    Point cloud;    Topographic map;    Vehicle-borne;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012150/pdf
DOI  :  10.1088/1755-1315/17/1/012150

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Large -scale topographic maps are important basic information for city and regional planning and management. Traditional large- scale mapping methods are mostly based on artificial mapping and photogrammetry. The traditional mapping method is inefficient and limited by the environments. While the photogrammetry methods(such as low-altitude aerial mapping) is an economical and effective way to map wide and regulate range of large scale topographic map but doesn't work well in the small area due to the high cost of manpower and resources. Recent years, the vehicle-borne LIDAR technology has a rapid development, and its application in surveying and mapping is becoming a new topic. The main objective of this investigation is to explore the potential of vehicle-borne LIDAR technology to be used to fast mapping large scale topographic maps based on new Chinese vehicle-borne LIDAR system. It studied how to use the new Chinese vehicle-borne LIDAR system measurement technology to map large scale topographic maps. After the field data capture, it can be mapped in the office based on the LIDAR data (point cloud) by software which programmed by ourselves. In addition, the detailed process and accuracy analysis were proposed by an actual case. The result show that this new technology provides a new fast method to generate large scale topographic maps, which is high efficient and accuracy compared to traditional methods.