Deep convolutional neural networks for airport detection in remote sensing images
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
URI
https://doi.org/10.1109/SIU.2018.8404195http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/12995
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