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dc.contributor.authorBudak, Umit
dc.contributor.authorSengur, Abdulkadir
dc.contributor.authorHalici, Ugur
dc.date.accessioned2021-12-16T09:07:20Z
dc.date.available2021-12-16T09:07:20Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10319
dc.description.abstractThis 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.isoEnglish
dc.publisherIeee
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference (SIU)
dc.source2018 26Th Sıgnal Processıng And Communıcatıons Applıcatıons Conference (Sıu)
dc.titleDeep Convolutional Neural Networks for Airport Detection in Remote Sensing Images
dc.typeProceedings Paper
dc.identifier.wosWOS:000511448500048


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