View Proposal

Proposer
Heba Elshimy
Title
Detecting floods from satellite imagery
Goal
Description
Using computer vision and deep learning to detect flood extent in satellite imagery.
Resources
Suggested dataset: https://archive.ics.uci.edu/dataset/770/nasa+flood+extent+detection Suggested paper with example implementation of segmentation models: https://essopenarchive.org/users/549247/articles/603410-curating-flood-extent-data-and-leveraging-citizen-science-for-benchmarking-machine-learning-solutions
Background
Knowledge of computer vision, image processing, and vision deep learning models.
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
1
Supervisor
Heba Elshimy
Keywords
deep learning, neural networks, computer vision
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computing Science
BSc Data Sciences
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