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dc.contributor.authorBudak, Umit
dc.contributor.authorAlcin, Omer Faruk
dc.contributor.authorSengur, Abdulkadir
dc.date.accessioned2021-12-16T09:07:14Z
dc.date.available2021-12-16T09:07:14Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10270
dc.description.abstractAirports are extremely critical targets in both economic and military areas. The earlier detection of these regions provides a very important intelligence information for making that regions unusable against a possible war. For this reason, a new approach
dc.language.isoTurkish
dc.publisherIeee
dc.relation.ispartofInternational Conference on Artificial Intelligence and Data Processing (IDAP)
dc.source2018 Internatıonal Conference On Artıfıcıal Intellıgence And Data Processıng (Idap)
dc.titleAutomatic Airport Detection with Line Segment Detector and Histogram of Oriented Gradients from Satellite Images
dc.typeProceedings Paper
dc.identifier.wosWOS:000458717400159


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