Show simple item record

dc.contributor.authorPakfiliz, Ahmet G.
dc.date.accessioned2018-06-18T10:29:51Z
dc.date.available2018-06-18T10:29:51Z
dc.date.issued2017-12cs
dc.identifier.citationRadioengineering. 2017 vol. 26, č. 4, s. 1169-1176. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/82949
dc.description.abstractAutomatic target detection of surface to air surveillance and tracking systems in video applications is an important issue, because it is the first step for track initiation and continuity. Target detection can be readily overcome for clear sky conditions, but it may be a complicated problem for cloudy sky conditions. In order to fulfill automatic target detection by using conventional image processing techniques may be a hard problem in cloudy sky conditions and improper light affects. The difficulty comes from the clutter rates stem from clouds, and the target may get lost in the clutters that occupies in the whole frame area. In order to increase the detection possibility background clutters should be eliminated by using image processing techniques frame by frame. In this work a novel approach is proposed to detect air vehicles in every kind of cloudy sky conditions. For this purpose a wavelet based image enhancement algorithm is implemented to the video frames, then conventional techniques are used. These conventional techniques are the reciprocal pixel intensity measurement data usage, Sobel operator and thresholding processes for edge detection. The proposed algorithm gives outstanding results for flying object detection in different sky conditions.en
dc.formattextcs
dc.format.extent1169-1176cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2017/17_01_1169_1176.pdfcs
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectAir object detectionen
dc.subjectwavelet enhancementen
dc.subjectedge detectionen
dc.subjectreciprocal pixel intensityen
dc.titleAutomatic Detection of Aerial Vehicle in Cloudy Environment by Using Wavelet Enhancement Techniqueen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume26cs
dc.identifier.doi10.13164/re.2017.1169en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International