Document Type

Thesis

Degree

Master of Science (MS)

Department

Computer Science

First Advisor's Name

Shu-Ching Chen

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Wei Sun

Third Advisor's Name

Keqi Zhang

Date of Defense

4-2-2001

Abstract

The primary purpose of this research was to develop new methodologies to process and analyze large amount of topographic data from airborne LIDAR (light detection and ranging) survey.

This research developed a suite of algorithms to resample dense clouds of point data from LIDAR survey, cut the large data set into smaller tiles, and filtered data to remove points from non-ground surface features such as vegetations, buildings, and vehicles. These algorithms were implemented on the PC platform using C++. The test results showed that the developed application software package based on these algorithms worked well. This application software package provided users an efficient way to retrieve, analyze, and display large volumes of LIDAR survey data, and to extract topographic information.

Identifier

FI14061561

Comments

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