A multimodal deep learning approach for real-time fire detection in aerial imagery

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/257214
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Type: Examensarbete för masterexamen
Master Thesis
Title: A multimodal deep learning approach for real-time fire detection in aerial imagery
Authors: Posch, Daniel
Rask, Jesper
Keywords: Elektroteknik och elektronik;Electrical Engineering, Electronic Engineering, Information Engineering
Issue Date: 2019
Publisher: Chalmers tekniska högskola / Institutionen för elektroteknik
Chalmers University of Technology / Department of Electrical Engineering
Series/Report no.: Examensarbete - Institutionen för elektroteknik, Chalmers tekniska högskola
URI: https://hdl.handle.net/20.500.12380/257214
Collection:Examensarbeten för masterexamen // Master Theses



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