Stationary aircraft detection from satellite images

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dc.contributor.authorPolat E.
dc.contributor.authorYildiz C.
dc.date.accessioned2020-06-25T15:17:16Z
dc.date.available2020-06-25T15:17:16Z
dc.date.issued2012
dc.departmentKırıkkale Üniversitesi
dc.description.abstractSatellite image analysis is an important research area in the field of image processing. Detection and recognition of regions and objects from satellite images find many useful civil applications such as detection of buildings, roads, bridges and other man-made objects as well as land plant classification. On the other hand, the detection of stationary aircrafts in airports can be strategically important in military applications. In this study, a learning-based system that detects stationary aircrafts in satellite images obtained from Google Earth is developed. The features that emphasize the geometric structure of an aircraft are determined using 2D Gabor filter. The aircraft detection is performed using Support Vector Machines (SVM) classification method. The SVM is a supervised learning method that analyzes data and recognizes patterns for classification The SVM takes a set of input data (a vector consists of Gabor filter output of images) and predicts the one of two classes (aircraft or non-aircraft). The performance of the system is demonstrated using satellite images collected from airports in Europe and United States.en_US
dc.identifier.citationPolat, E., Yıldız, C. (2012). Stationary aircraft detection from satellite images. Istanbul University Journal of Electrical and Electronics Engineering, 12(2), 1523 - 1528.en_US
dc.identifier.endpage1528en_US
dc.identifier.issn13030914
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84884229438
dc.identifier.scopusqualityN/A
dc.identifier.startpage1523en_US
dc.identifier.trdizinid162492
dc.identifier.urihttps://hdl.handle.net/20.500.12587/2260
dc.identifier.volume12en_US
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherIstanbul Universityen_US
dc.relation.ispartofIstanbul University - Journal of Electrical and Electronics Engineering
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAircraft detectionen_US
dc.subjectGabor filteren_US
dc.subjectSatellite image analysisen_US
dc.subjectSupport vector machinesen_US
dc.titleStationary aircraft detection from satellite imagesen_US
dc.typeArticle

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