Assessment of convolutional neural network architectures for earthquake-induced building damage detection based on pre- and post-event orthophoto images

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Assessment of convolutional neural network architectures for earthquake-induced building damage detection based on pre- and post-event orthophoto images

In recent years, remote-sensing (RS) technologies have been used together with image processing and traditional techniques in various disaster-related works. Among these is detecting building damage from orthophoto imagery that was inflicted by earthquakes. Automatic and visual techniques are consid...

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Bibliographic Details
Main Authors:	Kalantar, Bahareh, Ueda, Naonori, Al-Najjar, Husam Abdulrasool H., Abdul Halin, Alfian
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2020
Online Access:	http://psasir.upm.edu.my/id/eprint/87948/ http://psasir.upm.edu.my/id/eprint/87948/1/ABSTRACT.pdf

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