Dissertation > Excellent graduate degree dissertation topics show

Study on the Building Extraction from Airborn LIDAR Points Cloud Data

Author: WeiLei
Tutor: CaoJianNong
School: Chang'an University
Course: Cartography and Geographic Information Systems
Keywords: LIDAR data DSM depth image edge detection edge optimization
CLC: P23
Type: Master's thesis
Year: 2013
Downloads: 16
Quote: 0
Read: Download Dissertation


In the end of last century, airborn LIDAR technology has made a breakthrough inreal-time collection of three-dimensional geospatial information. It provides a new technicalmethod for the acquisition of high spatial-temporal resolution geo-spatial information.Because of acquiring three-dimensional coordinates automatically and accurately, andprotecting from the weather, this technology makes a transition from traditional single dataacquisition manually into a continuous data acquisition automatically, which greatly liberatesthe human productive forces. As the result, the automation and intellectualization of datapost-processing become a significant problem to solve.This paper is based on airborn LIDAR point cloud data and used some arithmetic to fillthe data hole, then gives regular grid re-sampling to the irregular discrete LIDAR point clouddata,which result in digital surface model (DSM).Then,DSM depth image are generated byquantify the gray scale in accordance with elevation. After that, using histogram thresholdsegmentation and small area removing method to preprocess the DSM depth image, theindependent building area are gained. Finally, using the rough edge detection of buildingCanny edge detection operator, line group to obtain the edges of the building, using theHough transform to get the straight line segment of the building edge, combining the brokensmall segment that supposed to be one straight line, adjusting the dip angle of segment byright angle constraint, then the building edge information that conforming to the actualsituation was gained.Based on airborn LIDAR point, without the other supporting data, it adopts ArcGIS、ERDAS to process digital image, uses MATLAB to conduct algorithm optimization, finallyachieved the building edge detection which is based on air LIDAR point cloud data.

Related Dissertations

  1. Research on Detecting Optical Fiber Geometric Parameter Based on Machine Vision,TN253
  2. Research on Abnormal Vehicle Behavior Detection and Application in Traffic Video,TP391.41
  3. The Research and Development of the Bar Counting Based on Image Processing,TP391.41
  4. Line Extraction ,matching and Three-dimensional Reconstruction in Satellite Images,TP751
  5. Research and Realization of Image Denoising Based on Wavelet Transform,TP391.41
  6. Based on the difference between the pixel grayscale image denoising wavelet edge detection and combining adjacent to its,TP391.41
  7. Study on Road Extraction of High Resolution Polarimetric SAR Interferometry Data,TN957.52
  8. The Research of Edge Detection Based on Mathematical Morphology,TP391.41
  9. Detection Algorithms on the Surface Edge Defects of Galvanized Sheet Based on Digital Image,TP274
  10. Research of Multi-scale Edge Detection Based on Mathematical Morphology,TP391.41
  11. Study of Plate Thickness Measurement System with Laser Illumination,TN247
  12. Study on Blotch Detection and Restoration Algorithm for Digital Videos,TP391.41
  13. Image intensifier and a screen resolution of defect detection technology,TN144
  14. Wheel based on image processing envelope contour measurement principle and technology research,TP391.41
  15. Based on structural similarity with the MTF image quality evaluation method,TP391.41
  16. Based on Image Processing Method of automatic target,TP391.41
  17. Research on Real-time Measurent of Steel Pipe’s Strghtness Based on Machine Version,TG83
  18. Researching on Image Processing Based on DSP,TP391.41
  19. Image edge detection based on mathematical morphology and wavelet transform research,TP391.41
  20. Research on Illumination Technology Based on Color Vision,TP391.41
  21. Detection Technology Research of Earthquake Change in Remote Sensing Image,P315.7

CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Photogrammetry and Surveying, Mapping and Remote Sensing
© 2012 www.DissertationTopic.Net  Mobile