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Stephen F. Austin State University

UNMANNED AERIAL SYSTEMS (UAS) IMAGE PREPROCESSING TO REDUCE ARTIFACTS AND IMPROVE GEOMETRIC REGISTRATION WHEN GENERATING ORTHOPHOTO MOSAICS AND 3D MODELS

Abstract

dc:description.abstract

<p>Drones can now be used to quickly collect imagery data in a highly automated way; however, individual images must be combined to form an orthomosaic or 3-Dimentional (3D) model using photogrammetry software. Currently, the existing software may generate erroneous output in the form of artifacts or positional errors caused by homogeneous areas, light reflections, object movement between photos, or sub-optimal algorithms. The goal of this research was to develop preprocessing algorithms that would filter movement (or other time or position-based differences) and areas of homogeneity. The hypothesis is that filtering these parts of the image would reduce artifacts and improve the positional accuracy of the resulting orthomosaic images and 3D models. Software improvements to reduce these errors will be especially useful if delivered in an open-source product. Python code was developed to preprocess the images that were input to OpenDroneMap (ODM). The system was tested on a variety of different datasets that each contained a subset of the characteristics that often cause problems (movement, reflection, or undifferentiated areas). Various combinations of filters (treatments) were applied to the datasets and the 2D and 3D results were reviewed for a reduction in artifacts. The results were significantly better with respect to artifacts, but no significant improvement in positional accuracy was observed except in the cases where the drone stopped when capturing an image. <strong></strong></p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy - Forestry
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Forestry
Year dc:date.available
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ironsmith, Eddie
Contributors dc:contributor
  • Dr. Yanli Zhang
  • Dr. I-Kuai Hung
  • Dr. David Kulhavy

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.sfasu.edu/etds/582
OAI identifier oai:identifier
oai:scholarworks.sfasu.edu:etds-1637

Chain of custody

source
Harvested from
Stephen F. Austin State University
Base URL
scholarworks.sfasu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ironsmith, Eddie. UNMANNED AERIAL SYSTEMS (UAS) IMAGE PREPROCESSING TO REDUCE ARTIFACTS AND IMPROVE GEOMETRIC REGISTRATION WHEN GENERATING ORTHOPHOTO MOSAICS AND 3D MODELS. Dissertation thesis, 2024. https://scholarworks.sfasu.edu/etds/582