Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach

Research output: Contribution to conferenceAbstractOther research output

4 Downloads (Pure)
Original languageEnglish
Number of pages2
Publication statusPublished - 1 Jul 2019
Event39th Annual EARSeL Conference & 43rd General Assembly 2019 - University of Salzburg, Salzburg, Austria
Duration: 1 Jul 20194 Jul 2019
Conference number: 39
http://symposium.earsel.org/39th-symposium-Salzburg/publication/

Conference

Conference39th Annual EARSeL Conference & 43rd General Assembly 2019
Abbreviated titleEARSeL 2019
CountryAustria
CitySalzburg
Period1/07/194/07/19
Internet address

Cite this

Ghaffarian, S., & Kerle, N. (2019). Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach. Abstract from 39th Annual EARSeL Conference & 43rd General Assembly 2019, Salzburg, Austria.
Ghaffarian, S. ; Kerle, N. / Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach. Abstract from 39th Annual EARSeL Conference & 43rd General Assembly 2019, Salzburg, Austria.2 p.
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title = "Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach",
author = "S. Ghaffarian and N. Kerle",
year = "2019",
month = "7",
day = "1",
language = "English",
note = "39th Annual EARSeL Conference & 43rd General Assembly 2019, EARSeL 2019 ; Conference date: 01-07-2019 Through 04-07-2019",
url = "http://symposium.earsel.org/39th-symposium-Salzburg/publication/",

}

Ghaffarian, S & Kerle, N 2019, 'Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach' 39th Annual EARSeL Conference & 43rd General Assembly 2019, Salzburg, Austria, 1/07/19 - 4/07/19, .

Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach. / Ghaffarian, S.; Kerle, N.

2019. Abstract from 39th Annual EARSeL Conference & 43rd General Assembly 2019, Salzburg, Austria.

Research output: Contribution to conferenceAbstractOther research output

TY - CONF

T1 - Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach

AU - Ghaffarian, S.

AU - Kerle, N.

PY - 2019/7/1

Y1 - 2019/7/1

UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2019/pres/ghaffarian_pos_abs.pdf

M3 - Abstract

ER -

Ghaffarian S, Kerle N. Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach. 2019. Abstract from 39th Annual EARSeL Conference & 43rd General Assembly 2019, Salzburg, Austria.