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

S. Ghaffarian, N. Kerle

Research output: Contribution to conference › Abstract › Other research output

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Original language	English
Number of pages	2
Publication status	Published - 1 Jul 2019
Event	39th Annual EARSeL Conference & 43rd General Assembly 2019 - University of Salzburg, Salzburg, Austria Duration: 1 Jul 2019 → 4 Jul 2019 Conference number: 39 http://symposium.earsel.org/39th-symposium-Salzburg/publication/

Conference	39th Annual EARSeL Conference & 43rd General Assembly 2019
Abbreviated title	EARSeL 2019
Country/Territory	Austria
City	Salzburg
Period	1/07/19 → 4/07/19
Internet address	http://symposium.earsel.org/39th-symposium-Salzburg/publication/

Access to Document

@conference{f880728a4eb849e7a237a9e9d5669d87,

title = "Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach",

author = "S. Ghaffarian and N. Kerle",

year = "2019",

month = jul,

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/",

}