dc.contributor.author | Budak, Umit | |
dc.contributor.author | Sengur, Abdulkadir | |
dc.contributor.author | Halici, Ugur | |
dc.date.accessioned | 2021-12-16T09:07:20Z | |
dc.date.available | 2021-12-16T09:07:20Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 978-1-5386-1501-0 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.uri | http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10319 | |
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 | Ieee | |
dc.relation.ispartof | 26th IEEE Signal Processing and Communications Applications Conference (SIU) | |
dc.source | 2018 26Th Sıgnal Processıng And Communıcatıons Applıcatıons Conference (Sıu) | |
dc.title | Deep Convolutional Neural Networks for Airport Detection in Remote Sensing Images | |
dc.type | Proceedings Paper | |
dc.identifier.wos | WOS:000511448500048 | |