Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network

Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network

Natural disasters not only disturb the human ecological system but also destroy the properties and critical infrastructures of human societies and even lead to permanent change in the ecosystem. Disaster can be caused by naturally occurring events such as earthquakes, cyclones, floods, and wildfires...

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Bibliographic Details
Main Authors: Muhammad Aamir, Tariq Ali, Muhammad Irfan, Ahmad Shaf, Muhammad Zeeshan Azam, Adam Glowacz, Frantisek Brumercik, Witold Glowacz, Samar Alqhtani, Saifur Rahman
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
deep learning
natural disasters intensity and classification
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/21/8/2648

Internet

https://www.mdpi.com/1424-8220/21/8/2648

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