机载lidar数据方法研究(11)

Abstract

Airborne LiDAR(Light detection and ranging) measurement system developed in the late seventies of the twentieth century, which combines GPS, inertial navigation system and laser scanning system. It can not only quickly and accurately obtain the clouds data of objectives to build the DEM and DSM models, but also it can work under all weather, making up for the deficiencies of traditional photogrammetric, and will bring a new technological revolution to surveying and mapping industry.

Airborne LiDAR measurement techniques provide a new technology means to obtain high spatial and temporal resolution geospatial information, and it is widely used in the field of military, agriculture, resource survey, disaster monitoring and so on. Its broad application prospect has aroused great concern to countries in the world. The current airborne laser radar technology in hardware and system integration has been rather mature, but the subsequent processing of data is relatively backward，which has been affected the further application of airborne LiDAR. How to process LiDAR data fast and efficiently is a prerequisite of its application, so researching and discussing applicable interpolation algorithm for LiDAR data has a very important theoretical and practical significance.

This paper first describes airborne LiDAR technology research status and development trends at home and abroad. Then, it introduces the compositions and principles of airborne LiDAR system, as well as technical process of data processing. Aimed at how to make up DSM and DEM quickly and accurately, it makes a particularly study of the applicability of different interpolation. And after the verification in experimental area, it obtains the applicable interpolation for building DSM and DEM models. Finally, it selects the size of engineered interpolation in depth discusses and experiments. For satisfying engineered production and emergency production needs, it builds the confirmable method of the DSM interpolation size, and obtains good results.

Key words: Airborne LiDAR; Digital Surface Model; Digital Elevation Model; Filtering; Interpolation

III

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