Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations
| Autor: | Vladimir Ignatiev, Evgeny Burnaev, German Novikov, Alexey Trekin, Georgy Potapov |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Emergency management
Computer science business.industry Deep learning 0211 other engineering and technologies Time efficiency 02 engineering and technology Emergency situations Workflow Risk analysis (engineering) Remote sensing (archaeology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Satellite imagery Artificial intelligence Decision-making business 021101 geological & geomatics engineering |
| Zdroj: | Business Information Systems ISBN: 9783319939308 BIS |
| DOI: | 10.1007/978-3-319-93931-5_25 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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