Application of Image Analysis and Machine Learning to Assist the Interpretation of Remotely Sensed Geospatial Data

Yathunanthan Vasuki

Research output: ThesisDoctoral Thesis

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Abstract

This thesis presents a study that focuses on practical applications of image analysis and machine learning with a specific aim to derive usable outcomes for end-users. The proposed approach is based on integrating interactive visualisation with automated analysis to support data interpretation. This thesis presents three applications: (1) to map 3D orientations of geological structures from high resolution rock surface images captured from an unmanned aerial vehicle; (2) to assist the interactive mapping of lithological boundaries using rock surface images; and (3) to support the monitoring of vegetation recovery for rehabilitated mines using Landsat remote sensing images.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Holden, Eun-Jung, Supervisor
  • Kovesi, Peter, Supervisor
  • Micklethwaite, Steven, Supervisor
Award date21 Apr 2021
DOIs
Publication statusUnpublished - 2021

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