Skip to Main Content
Frequently Asked Questions
Submit an ETD
Global Search Box
Need Help?
Keyword Search
Participating Institutions
Advanced Search
School Logo
Files
File List
osu1104114425.pdf (4.3 MB)
ETD Abstract Container
Abstract Header
Building model reconstruction from lidar data and aerial photographs
Author Info
Ma, Ruijin
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1104114425
Abstract Details
Year and Degree
2005, Doctor of Philosophy, Ohio State University, Geodetic Science and Surveying.
Abstract
The objective of this research is to reconstruct 3D building models from imagery and LIDAR data. The images used are stereo aerial photographs with known imaging orientation parameters so that 3D ground coordinates can be calculated from conjugate points; and 3D ground objects can be projected to image spaces. To achieve this objective, a method of synthesizing both imagery data and LIDAR data is explored; thus, the advantages of both data sets are utilized to derive 3D building models with a high accuracy. In order to reconstruct complex building models, the polyhedral building model is employed in this research. Correspondingly, the reconstruction method is a data-driven oriented. The general research procedure can be summarized as: a) building detection from LIDAR data; b) 3D building model reconstruction; c) LIDAR data and imagery data co-registration; and d) building model refinement. The main role of aerial image data in this research is to improve the geometric accuracy of a building model. The major contributions of this research lie in four aspects: 1) Two algorithms are developed to perform LIDAR segmentation. Compared with the algorithms proposed by other researchers, these two algorithms work well in urban and suburban areas. In addition, they can keep fine features on the ground; 2) An algorithm of building boundary regularization is proposed in this study. Compared with the commonly used MDL algorithm, it is simple to implement and fast in computation. Longer line segments have larger weights in its adjustment process. This agrees with the fact that longer line segments have more accurate azimuths provided that the accuracy of ending points are the same for all segments; 3) A new method of 3D building model reconstruction from LIDAR data is developed. It is comprised of constructing surface topology, calculating corners from surface intersection, and ordering points of a roof surface in their correct sequence; and 4) A new framework of building model refinement from aerial imagery data is proposed. It refines building models in a consistent approach; and it utilized stereo imagery information and roof constraints in deriving refined building models.
Committee
Rongxing Li (Advisor)
Pages
181 p.
Subject Headings
Engineering, General
Keywords
LIDAR
;
LIDAR DATA
;
BUILDING MODEL
;
DSM
;
DTM
;
roof
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
Ma, R. (2005).
Building model reconstruction from lidar data and aerial photographs
[Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1104114425
APA Style (7th edition)
Ma, Ruijin.
Building model reconstruction from lidar data and aerial photographs.
2005. Ohio State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1104114425.
MLA Style (8th edition)
Ma, Ruijin. "Building model reconstruction from lidar data and aerial photographs." Doctoral dissertation, Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1104114425
Chicago Manual of Style (17th edition)
Abstract Footer
Document number:
osu1104114425
Download Count:
1,614
Copyright Info
© 2004, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.