Dissertation > Excellent graduate degree dissertation topics show

Research on Airborne LiDAR Points Cloud Data Building Reconstruction Technology

Author: ChenYongFeng
Tutor: XuQing
School: PLA Information Engineering University
Course: Pattern Recognition and Intelligent Systems
Keywords: LiDAR Point Cloud Data Outlier Eliminating Adaptive Filtering SpatialClustering Building Reconstruction
CLC: TP751
Type: Master's thesis
Year: 2013
Downloads: 2
Quote: 0
Read: Download Dissertation

Abstract


As a new measurement system that can quickly obtain3D information, intensityinformation and optical images of the survey area, airborne LiDAR (Light Detection andRanging) has been widely used in topographic mapping, coastline monitoring,3D modeling ofurban areas, forest resources survey and other fields. Aiming at building reconstruction based onairborne LiDAR data, this paper researches on the detection of outliers, data filtering, buildings’point cloud acquisition and3D reconstruction. The main work and innovations of the thesis arelisted as follows:1. The composition of airborne LiDAR system and characteristics of point cloud data areintroduced. Based on the analysis of common methods of outlier eliminating, a method on thebasis of scan line and pseudo-grid is proposed. The method is approved to be effective inbuilding data preprocessing by experiment.2. On the basis of analysing existing morphological filtering algorithms, for the need ofsetting the parameters of window size and threshold value manually, the adaptive strategy of twothresholds is proposed and an adaptive mathematical morphology algorithm is designed. Themethod is approved to be self-adaptive to extract non-terrestrial point through different area dataexperimentation.3. A method of LiDAR buildings’ point cloud extraction based on spatial clustering andtopological analysis is proposed. Combined with seed-fill and boundary following algorithm,using elevation image created by point cloud data, the separation of buildings’ point cloud dataand vegetation point cloud data, and the extraction of building contour are achieved.4. An airborne LiDAR point cloud building reconstruction algorithm based on the detectionof critical points is proposed. The point cloud of all facets are achieved through clustering ofRANSAC algorithm, the key contour points of all patch are achieved by using Alpha Shapealgorithm，and the construction of the building model is completed. Experiment shows thismethod can automatically rebuilding flat roof,gable roof, hip roof and other roofs with goodeffection.

Related Dissertations

  1. The Airborne LiDAR and LiDAR Points-cloud’s Quick Processing Method,TN959.73
  2. Building Feature Extraction from LiDAR Point Cloud and CCD Image,P225.2
  3. Research on High-resolution 3D Imaging Lidar Techniques,TN958.98
  4. The Study on Modeling and Simulation of Infrared Lidar to Measure Methane Concentration,TN958.98
  5. Study on Airborne LiDAR Strip Adjustment Based on Attitude Correction,P225.1
  6. Airborne LiDAR Filtering by Fusing Multi-features,TN958.98
  7. Design of Degital Effect Processor by DSP Platform,TN912.2
  8. Real-time Detecting and Tracking of Moving Objects Using 3D Lidar,TN957.52
  9. Investigation on Characteristics of Staring Lidar System,TN958.98
  10. Gas Concentration Measurement Based on Laser Absorption Spectroscopy,O433.51
  11. A typical three-dimensional laser-based radar target recognition technology research ground,TP391.41
  12. Research on Key Techniques for Large Transport Vehicle Platform Autonomous Positioning,TH22
  13. Minicomputer contains three-dimensional imaging laser radar system is a key technology research,TN958.98
  14. Study on Algorithms of Airborne LiDAR Point Cloud Data Filtering,TN713
  15. Analysis and Calibration of Three-axis Fluxgate Magnetometers Error,TH762.3
  16. Study of Survey Technology Based on the Domestic AOE Airborne Lidar,P231
  17. Study on Optical Properties of Haze Aerosol at Shanghai with Micro-Pulse Lidar,X513
  18. Hardware Design and Field Experiments of Airborne Lidar System for Oil Spill Monitoring,U698.7
  19. Target Detection and Recognition Base on 1-D Lidar Range Image,TJ439.2
  20. Study of Ground Points Extraction and Curving Surface Fitting Algorithm from ALS Data,TP722
  21. Study on Registration Technologies of Different Species Remote Sensing Images,TP751

CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
© 2012 www.DissertationTopic.Net  Mobile