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2018 | OriginalPaper | Buchkapitel

Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations

verfasst von : German Novikov, Alexey Trekin, Georgy Potapov, Vladimir Ignatiev, Evgeny Burnaev

Erschienen in: Business Information Systems

Verlag: Springer International Publishing

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Abstract

When major disaster occurs the questions are raised how to estimate the damage in time to support the decision making process and relief efforts by local authorities or humanitarian teams. In this paper we consider the use of Machine Learning and Computer Vision on remote sensing imagery to improve time efficiency of assessment of damaged buildings in disaster affected area. We propose a general workflow that can be useful in various disaster management applications, and demonstrate the use of the proposed workflow for the assessment of the damage caused by the wildfires in California in 2017.

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Titel: Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations
verfasst von: German Novikov
Alexey Trekin
Georgy Potapov
Vladimir Ignatiev
Evgeny Burnaev
Verlag: Springer International Publishing
Buch: Business Information Systems
Print ISBN: 978-3-319-93930-8

Electronic ISBN: 978-3-319-93931-5

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-93931-5_25

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