Research Of Airborne LIDAR Data Processing With Multiple Data

Undeniably, Digital Earth becomes a stable notion so widely accepted that most people especially geographers regard this as a common sense. How to acquire spatial information with high accuracy, good rate and reliability turns into a significant position in three dimensional Virtual Reality which is one of the particular use requiring much dense Digital Terrain Model than others. LIDAR(Light Detection And Ranging) is an effective technology for acquisition of height information, which is an active measure instrument, thanks to the accuracy and density of the three dimensional data. The term airborne LIDAR refers to an airborne laser system consisting of a laser scanner, a geodetic quality GPS receiver and an inertial measurement unit (IMU), which less depends on ground controls, little affected by weather conditions with high automatic and short temporal data processing. LIDAR application has set off an upsurge in foreign countries, while in China the processing algorithms and classification adaptability discussion are in the first research stage and laser altimeter industry standard is still in the blank. This technology would bring new technical revolution for surveying which gives geographers a new challenge(Liu Jingnan, 2003).This paper describes the theory and method researches of LIDAR data processing including different key technology analyses with the concept of the multiple data. The specific contents are as follows:1) The airbrone LIDAR survey principle, technical superiority, present situation, development of applications and comparation with photogremmetry and airborne InSAR will be presented in this article;2) The discussion of the LIDAR data characteristics, data organization and standard file format proposed by ASPRS which is of great significance for system providers, software developers and users;3) The quality evaluation and error removal methods for LIDAR data preparation processing including flight strip key points, histogram, isolation points and shaded relief analyses;4) The common methods and algorithms to filter LIDAR data are reviewed and compared, a new filtering algorithm based on different data, taking given Digital Terrain Model (DTM) as an example, is proposed in this paper with experiments in urban, mountainious, forests and water areas;5) Assistant recognization and artificial edit with TIN/grid shaded relief,aerial imagery and profiles of the LIDAR points;6) Comparation of the interpolation algorithms for creating Digital Surface Model and Digital Elevation Model from LIDAR data.7) Experiments on LIDAR data applications including orthoimage rectification, true ortho production and rapid city three dimension modeling.