Applies CNN scene classification and probabilistic fusion to pre- and post-event images to automate preliminary categorization of building attributes and damage for post-disaster reconnaissance planning.
Re- thinking the inception architecture for computer vision, in: Proceed- ings of the IEEE conference on computer vision and pattern recogni- tion, pp
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Towards fully automated post-event data collection and analysis: pre-event and post-event information fusion
Applies CNN scene classification and probabilistic fusion to pre- and post-event images to automate preliminary categorization of building attributes and damage for post-disaster reconnaissance planning.