Publication:
LiDAR and image point cloud comparison

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Authors
Mueller, Amanda R.
Subjects
LiDAR
photogrammetry
multiview stereo
point cloud
Advisors
Olsen, Richard C.
Date of Issue
2014-09
Date
Sep-14
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
This paper analyzes new techniques used to extract 3D point clouds from airborne and satellite electro-optical data. The objective of this research was to compare the three types of point clouds to determine whether image point clouds could compete with the accuracy of LiDAR point clouds. The two main types of image point clouds are those created photogrammetrically, with two side-by-side images, or through feature matching between multiple images using multiview stereo techniques. Two software packages known for handling aerial imagery, IMAGINE Photogrammetry and Agisoft Photoscan Pro, were used to create such models. They were also tested with sub-meter resolution satellite imagery to determine whether much larger, but still truthful, models could be produced. It was found that neither software package is equipped to vertically analyze satellite imagery but both were successful when applied to aerial imagery. The photogrammetry model contained fewer points than the multiview model but maintained building shape better. While the photogrammetry model was determined to be the more accurate of the two it still did not compare to the accuracy of the LiDAR data.
Type
Thesis
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Department
Information Sciences (IS)
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Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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