Management, retrieval, and visualization of spatial data from airborne light detection and ranging system (LIDAR) survey Thesis

(2001). Management, retrieval, and visualization of spatial data from airborne light detection and ranging system (LIDAR) survey . 10.25148/etd.FI14061561

thesis or dissertation chair

fiu authors

  • Cui, Zheng

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.

publication date

  • April 2, 2001

Digital Object Identifier (DOI)