An Automatic System of Detecting Changes in Aerial Images Using ANN Based Contourlet Transform

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dc.contributor.authorYasar, Huseyin
dc.contributor.authorHatipoglu, Ridvan Safa
dc.contributor.authorCeylan, Murat
dc.date.accessioned2020-03-26T19:00:43Z
dc.date.available2020-03-26T19:00:43Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description7th International Conference on Recent Advances in Space Technologies (RAST) -- JUN 16-19, 2015 -- Istanbul, TURKEYen_US
dc.description.abstractThe obtaining of the aerial images got easy thanks to technological developments in the field of unmanned aerial vehicles and these images were began to be used frequently in the field of image processing. Automatic changes detection from aerial images is among the most important study fields. An automatic system for changes detection has been proposed by using contourlet transform and artificial neural network (ANN) in this study. The contourlet transform is applied to the reference image in the first phase of the system consisting of two phases. Mean, variance, standard deviation and skewness values were calculated from the obtained sub-image matrix and seven image feature vectors are formed by using these statistical values and combinations. The numerical equivalents of the reference image were obtained by using the feature vectors by ANN. The same procedures were applied to the image that its exchange will be examined in the second phase of the system. The change between numerical provisions of the reference image and the image to be examined compared to the threshold value set by the user and automatic changes detection was performed. It was found that the changes in numerical results obtained at the end of the study overlap with the changes in aerial images.en_US
dc.description.sponsorshipIEEE, AIAA, URSI, AESS, GRSS, EARSeL, ISPRS, Turkish Air Force Acad, Istanbul Tech Univ, Bogazici Univ, Middle E Tech Univ, Yildiz Tech Univ, Roketsan, Havelsan, Turksat, Aselsan, TAI, Tusas Engine Ind Inc, Petlas, ALP Havacilik, Mitsubishi Elect, Space & Defence Technologies, ThalesAlenia Space, Savunma Havacilik, MSIen_US
dc.identifier.endpage205en_US
dc.identifier.isbn978-1-4799-7697-3
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage199en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31823
dc.identifier.wosWOS:000381627000032en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 7TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectaerial imagesen_US
dc.subjectchanges detectionen_US
dc.subjectcontourlet transformen_US
dc.subjectartificial neural network (ANN)en_US
dc.titleAn Automatic System of Detecting Changes in Aerial Images Using ANN Based Contourlet Transformen_US
dc.typeConference Objecten_US

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