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Assessing the quantitative and qualitative differences between 3D point clouds produced from lidar and structure from motion
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] The purpose of this study is to compare the quality and accuracy of point clouds and digital elevation products derived from Unmanned Aerial ...
A remote sensing analysis of the grand river grasslands using sentinel-2 satellite imagery : a comparison of land-use / land-cover classifications using per-pixel and object-oriented procedures
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The important prerequisites for the proper use of land is to know how the land is covered and how it is being used currently. In this study, land-use ...
Using deep learning for land classification within the konza prairie, 1985 – 2011
(University of Missouri--Columbia, 2021)
Machine learning has been around for decades, but deep learning is the new focus of study within machine learning. The goals of implementing deep learning into remote sensing are resulting in much faster and more accurate ...