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Study on Airborne LiDAR Point Cloud Data Post-Processing Theory and Technology

Author: ZhangZuoBin
Tutor: SuiLiChun
School: Chang'an University
Course: Photogrammetry and Remote Sensing
Keywords: Airborne LiDAR Mathematical Morphology Triangular network Filtering TopLiDAR
CLC: TP79
Type: Master's thesis
Year: 2010
Downloads: 452
Quote: 4
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Abstract


The airborne LiDAR remote sensing technology as a new active real-time access to the surface three-dimensional information made ??breakthrough progress has aroused interest in mapping , forestry and related industries . In recent years, with the development of the related technologies , as well as the growing demand of the society , the rapid development of airborne LiDAR technology provides a new technical means to obtain high spatial and temporal resolution geo-spatial information , the data acquisition and processing towards the direction of the development of intelligent and automated , represents a new direction of development in the field of earth observation . The relatively rapid development of hardware technology , LiDAR point cloud data processing algorithms ( such as automatic filtering and classification ) is still in the research and development stage , pending further study . Deal with the theory and technology of airborne LiDAR system and its data system data , major innovations are as follows : (1) data management . To establish rules grid index method , fast access to massive point cloud data ; introduction of memory-mapped file technology massive point cloud data read and write ; \achieve fast rendering of large point cloud data ; to use chunked drawing and sparse display , real-time refresh of massive point cloud data . (2) in the filtering algorithm . Improved the existing mathematical morphology and progressive triangular mesh filter algorithm . The experiments show that the improved algorithm , the algorithm is stable , high efficiency , good reliability and practicality . (3 ) in the point cloud data processing technology . MicroStation design development LiDAR point cloud data processing software TopLiDAR in , the introduction of mathematical morphology filtering algorithm and the improved progressive triangulation network filtering algorithms , and design of a point, line , surface and continuous dynamic section editing manual classification tools improve the efficiency of the LiDAR point cloud data filtering and classification . Research LiDAR point cloud data filtering classification algorithm , the development of data processing software , is one of the effective ways to improve its data accuracy , and is currently one of the hotspots of its data processing field . This study has some practical and valuable post-processing of LiDAR point cloud data .

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > The application of remote sensing technology
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