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

Research output: Contribution to conferenceAbstract

10 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.