Deep convolutional neural networks for airport detection in remote sensing images

dc.contributor.author	Budak, U.
dc.contributor.author	Sengur, A.
dc.contributor.author	Halici, U.
dc.date.accessioned	2021-12-16T10:12:07Z
dc.date.available	2021-12-16T10:12:07Z
dc.date.issued	2018
dc.identifier.isbn	9.78154E+12
dc.identifier.uri	https://doi.org/10.1109/SIU.2018.8404195
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/12995
dc.description.abstract	This study investigated the use of deep convolutional neural networks (CNNs) in providing a solution for the problem of airport detection in remote sensing images (RSIs). In recent years, Deep CNNs have gained much attention with numerous applications hav
dc.language.iso	English
dc.publisher	Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
dc.source	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
dc.title	Deep convolutional neural networks for airport detection in remote sensing images
dc.type	Conference Paper
dc.identifier.startpage	1
dc.identifier.endpage	4
dc.identifier.doi	10.1109/SIU.2018.8404195
dc.identifier.scopus	2-s2.0-85050821484

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