Date Available
5-13-2011
Year of Publication
2010
Degree Name
Master of Science (MS)
Document Type
Thesis
College
Engineering
Department
Computer Science
First Advisor
Dr. Ruigang Yang
Abstract
The recent growth in inexpensive laser scanning sensors has created entire fields of research aimed at processing this data. One application is determining the polygonal boundaries of roofs, as seen from an overhead view. The resulting building outlines have many commercial as well as military applications. My work in this area has created a segmentation algorithm where the descriptive features are computationally and theoretically simpler than previous methods. A support vector machine is used to segment data points using these features, and their use is not common for roof detection to date. Despite the simplicity of the feature calculations, the accuracy of our algorithm is similar to previous work. I also describe a basic polygonal extraction method, which is acceptable for basic roofs.
Recommended Citation
Gombos, Andrew David, "DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY" (2010). University of Kentucky Master's Theses. 75.
https://uknowledge.uky.edu/gradschool_theses/75
