Dissertation > Excellent graduate degree dissertation topics show

Research on Airborne LiDAR Points Cloud Data Filtering and LiDAR-Supported Image Matching

Author: LiPengCheng
Tutor: WangHui
School: PLA Information Engineering University
Course: Photogrammetry and Remote Sensing
Keywords: Airborne LiDAR Points Cloud Data Data Organization Detection of Outliers Data Filtering LiDAR-supported Image Matching
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 103
Quote: 0
Read: Download Dissertation


As an effective means of gathering and dealing with geospace information, the measuringtechnic using airborne LiDAR is a complementarity for traditional photogrammetry. AirborneLiDAR points cloud data filtering and LiDAR-supported image matching are mainly researchedin this thesis. On one hand, the correlative contents about points cloud data preprocessing andsome data filtering algorithms are researched; on the other hand, from the application aspect ofairborne LiDAR measuring technic, a LiDAR-supported image matching scheme is proposed.The finished works of this thesis are as follows:1. Airborne LiDAR points cloud data preprocessing is researched.4kinds of dataorganizing modes are compared, and the test results show that the most efficient method is byusing pseudo grid; then, an efficient method based on height frequence is researched to detect theoutliers, and the experimental results prove that this method could remove the outlierseffectively.2. On base of principle and deficiency of the original method, an improved hierarchicalmoving curved fitting filtering method is proposed using a strategy of filtrating lowest points,which is proved efficient to avoid filtering error when dealing with buildings of large size.3. A morphological filtering method based on fake scan lines is proposed. This methodarranges the original points like “Z” shape in row and column directions respectively, andfinishes the filtering process using morphological principle on base of the newly arranged points.Some experiments test the performance of this method and prove that it is more efficient than themethod based on pseudo grid.4. A LiDAR-supported image matching scheme is designed. Without troublesome searchingtactic, this method makes DSM which is generated by points cloud as guidance to obtain theinitial value for correlative coefficient matching. The experimental results show that this schemecould achieve image matching and prove the feasibility and validity of the guidance of airborneLiDAR points cloud data.

Related Dissertations

  1. The Airborne LiDAR and LiDAR Points-cloud’s Quick Processing Method,TN959.73
  2. Study on Airborne LiDAR Strip Adjustment Based on Attitude Correction,P225.1
  3. Airborne LiDAR Filtering by Fusing Multi-features,TN958.98
  4. Study on Algorithms of Airborne LiDAR Point Cloud Data Filtering,TN713
  5. Study of Survey Technology Based on the Domestic AOE Airborne Lidar,P231
  6. Study on Data Filtering and Building Extraction of Airborne LIDAR Data,TN958.98
  7. LIDAR Technology and Its Application in Water Conservancy,TV221
  8. Study of Controlling Method of Data Quality Based on the Domestic Aoe Airborne Lidar,TN958.98
  9. Accuracy Analysis and Evaluation of Airborne LiDAR Data,P237
  10. Study on Airborne LiDAR Point Cloud Data Post-Processing Theory and Technology,TP79
  11. Prediction of Subtropical Forest Parameters Using Airborne Laser Scanner,S771.8
  12. Research on the Interpolation of Airborne LiDAR,TN959.73
  13. Data processing methods for multi-sensor airborne remote sensing monitoring system,TP873
  14. Research on Building Detection in Urban Area Based on Aerial LiDAR Data and High Resolution Remotely Sensed Imagery,TP751
  15. Research on Airborne LiDAR Strips Matching,P225.2
  16. Research and Design of Digital Sand Table Based on Multi-source Spatio-temporal Data,P208
  17. Detection Clear Air Turbulence with Lidar and Data Processing Using EMD,TN959
  18. The Real Time Data Filtering System Based on Multiple Pattern Matching,TP393.08
  19. Data Organization and Management of National Soil Pollution Survey,X53
  20. Management Information System for Investigation of Agricultural Biological Resources in Yunnan,F326
  21. The Organization and Local Update Processing of Contour’s Spatiotemporal Data,P208

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile