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Thesis
Visual Question Answering (vqa) Analyses for Post-Disaster Damage Detection and Identification Using Aerial Footage
University of West Florida Libraries
Master of Science (MS), University of West Florida
Spring 2022
Abstract
Natural disasters are a major source of significant damage and costly repairs around the world. After a natural disaster occurs, there are usually an insurmountable amount of damage, and with that there is also a lot of costs with repairing and aiding all the people involved. Besides that, the occurrence of natural phenomenon has increased significantly in the past decade. With that in mind, post-disaster damage detection is usually performed manually by human operators. Taking into consideration all the areas one has to closely look into, as well as the difficult terrain and places with hard access, it becomes easy to understand how incredibly difficult it is for a surveyor to identify and annotate every single possible damage out there. Because of that, it has become essential to find new creative solutions for damage detection and classification in case of natural disasters, especially hurricanes.
The study of this thesis aims at finding the feasibility of using different types of computer vision techniques with the help of an UAV in order to conduct an analyzes for post-disaster damage detection and identification while comparing the results obtained from each model.
Details
- Title
- Visual Question Answering (vqa) Analyses for Post-Disaster Damage Detection and Identification Using Aerial Footage
- Resource Type
- Thesis
- Contributors
- Hakki Erhan Dr. Sevil (Committee Chair)Thomas Dr. Gilbar (Committee Member)Arash Dr. Mahyari (Committee Member)Mohamed Dr. Khabou (Committee Member)
- Publisher
- University of West Florida Libraries
- Format
- pdf
- Number of pages
- 84
- Copyright
- © 2022 Enrique Plasencia
- Identifiers
- 99380090596106600
- Academic Unit
- Dr. Muhammad Harunur Rashid Department of Electrical and Computer Engineering; Hal Marcus College of Science and Engineering
- Language
- English
- Awarding Institution
- University of West Florida; Master of Science (MS)
- Theses and Dissertations
- Master of Science (MS), University of West Florida