Post-disaster building database updating using automated deep learning: An integration of pre-disaster OpenStreetMap and multi-temporal satellite data

Saman Ghaffarian*, Norman Kerle, Edoardo Pasolli, Jamal Jokar Arsanjani

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

1 Citation (Scopus)
OriginalsprogEngelsk
Artikelnummer2427
TidsskriftRemote Sensing
Vol/bind11
Udgave nummer20
ISSN2072-4292
DOI
StatusUdgivet - 1 okt. 2019

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satellite data
disaster
learning
damage
typhoon
train
remote sensing
method
satellite image
decision
need
analysis
registration
state of the art
damage assessment

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title = "Post-disaster building database updating using automated deep learning: An integration of pre-disaster OpenStreetMap and multi-temporal satellite data",
keywords = "Building database update, Convolutional neural network, Damage assessment, Deep learning, Multi-temporal satellite imagery, OpenStreetMap, Post-disaster, Recovery assessment, Super Typhoon Haiyan, U-Net",
author = "Saman Ghaffarian and Norman Kerle and Edoardo Pasolli and Arsanjani, {Jamal Jokar}",
year = "2019",
month = "10",
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doi = "10.3390/rs11202427",
language = "English",
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Post-disaster building database updating using automated deep learning : An integration of pre-disaster OpenStreetMap and multi-temporal satellite data. / Ghaffarian, Saman; Kerle, Norman; Pasolli, Edoardo; Arsanjani, Jamal Jokar.

I: Remote Sensing, Bind 11, Nr. 20, 2427, 01.10.2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Post-disaster building database updating using automated deep learning

T2 - An integration of pre-disaster OpenStreetMap and multi-temporal satellite data

AU - Ghaffarian, Saman

AU - Kerle, Norman

AU - Pasolli, Edoardo

AU - Arsanjani, Jamal Jokar

PY - 2019/10/1

Y1 - 2019/10/1

KW - Building database update

KW - Convolutional neural network

KW - Damage assessment

KW - Deep learning

KW - Multi-temporal satellite imagery

KW - OpenStreetMap

KW - Post-disaster

KW - Recovery assessment

KW - Super Typhoon Haiyan

KW - U-Net

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U2 - 10.3390/rs11202427

DO - 10.3390/rs11202427

M3 - Journal article

AN - SCOPUS:85074215826

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JO - Remote Sensing

JF - Remote Sensing

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