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osu1251138890.pdf (9.71 MB)
ETD Abstract Container
Abstract Header
Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data
Author Info
Choung, Yunjae
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1251138890
Abstract Details
Year and Degree
2009, Master of Science, Ohio State University, Geodetic Science and Surveying.
Abstract
Bluffline mapping is critical for estimation of shoreline movement, development ofcoastal zone, and protection of coastal properties and coastal environment. LiDAR technology has been utilized in coastal mapping since the late 1990’s. Research on development of the method for bluffline extraction using LiDAR data has been carried out very recently. The method for bluffline extraction from LiDAR DSM by analysis of slope values (termed as the slope based method) was developed in the Mapping and GIS lab of OSU. The slope based method was applied to extract the blufflines in the coastal zone of Lake Erie. This method has theoretical limitations with analysis of the geometric patterns; hence it does not provide enough information for extraction of blufflines due to the limitations. In addition, the slope based method requires manual labor to extract the three dimensional blufflines. In this thesis, a method for bluffline extraction from the 2.5 dimensional Delaunay triangle mesh, generated using a set of points of LiDAR, using normal vectors (termed as the vector based method) is introduced. This vector based method is also applied to extract the blufflines in the coastal zone of Lake Erie. This thesis proves that the vector based method provide more information for extraction of blufflines in comparison to the slope based method. Introduction to the definition of blufflines, introduction of the slope based method and statements of current problems for bluffline extraction are the first theme of this thesis. Introduction to the vector based method for bluffline extraction is the second theme of this thesis. Introduction to the coastal zone of Lake Erie and all implementations of the vector based method for bluffline extraction are the third theme of this thesis.Measurement of accuracy of the blufflines extracted using both methods and analysis of both methods with the measurement results are the fourth theme of this thesis.Summarization of conclusions of this research and future work for further research for bluffline extraction with a high quality using surveying data are the final theme of this thesis.
Committee
Rongxing Li (Advisor)
Alper Yilmaz (Committee Member)
Pages
122 p.
Subject Headings
Engineering
Keywords
Blufflines
;
LiDAR
;
Delaunay triangulations
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Citations
Choung, Y. (2009).
Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1251138890
APA Style (7th edition)
Choung, Yunjae.
Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data.
2009. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1251138890.
MLA Style (8th edition)
Choung, Yunjae. "Extraction of blufflines from 2.5 dimensional Delaunay triangle mesh using LiDAR data." Master's thesis, Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1251138890
Chicago Manual of Style (17th edition)
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Document number:
osu1251138890
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Copyright Info
© 2009, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.