Analyzing Drone Imagery of Flooded Regions with Deep Neural Networks
Flooding is the world’s most prevalent natural disaster, causing a large amount of fatalities and severe economical consequences each year. In this thesis, drone imagery of flooded regions has been analyzed by deep neural networks in order to facilitate disaster prevention and response. The deep neu...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264977 |