Performance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 algorithm performance contest

Simple item page
dc.contributor.authorAksoy, Selimen_US
dc.contributor.authorÖzdemir, Bahadıren_US
dc.contributor.authorEckert, S.en_US
dc.contributor.authorKayitakire, F.en_US
dc.contributor.authorPesarasi, M.en_US
dc.contributor.authorAytekin, O.en_US
dc.contributor.authorBorel, C. C.en_US
dc.contributor.authorCech, J.en_US
dc.contributor.authorChristophe, E.en_US
dc.contributor.authorDüzgün, S.en_US
dc.contributor.authorErener, A.en_US
dc.contributor.authorErtugay, K.en_US
dc.contributor.authorHussain, E.en_US
dc.contributor.authorInglada, J.en_US
dc.contributor.authorLefévrë, S.en_US
dc.contributor.authorOk, Ö.en_US
dc.contributor.authorSan, D. K.en_US
dc.contributor.authorŠára, R.en_US
dc.contributor.authorShan, J.en_US
dc.contributor.authorSoman, J.en_US
dc.contributor.authorUlusoy, I.en_US
dc.contributor.authorWitz, R.en_US
dc.coverage.spatialTampa, FL, USA
dc.date.accessioned2016-02-08T11:35:32Z
dc.date.available2016-02-08T11:35:32Z
dc.date.issued2008-12en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionConference name: IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008)
dc.descriptionDate of Conference: 7-7 Dec. 2008
dc.description.abstractThis paper presents the initial results of the Algorithm Performance Contest that was organized as part of the 5th IAPRWorkshop on Pattern Recognition in Remote Sensing (PRRS 2008). The focus of the 2008 contest was automatic building detection and digital surface model (DSM) extraction. A QuickBird data set with manual ground truth was used for building detection evaluation, and a stereo Ikonos data set with a highly accurate reference DSM was used for DSM extraction evaluation. Nine submissions were received for the building detection task, and three submissions were received for the DSM extraction task. We provide an overview of the data sets, the summaries of the methods used for the submissions, the details of the evaluation criteria, and the results of the initial evaluation. © 2008 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:35:32Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008en
dc.identifier.doi10.1109/PRRS.2008.4783173en_US
dc.identifier.urihttp://hdl.handle.net/11693/26776
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/PRRS.2008.4783173en_US
dc.source.titleIAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008en_US
dc.subjectAlgorithm performanceen_US
dc.subjectAutomatic building detectionsen_US
dc.subjectBuilding detectionsen_US
dc.subjectData setsen_US
dc.subjectDigital surface modelsen_US
dc.subjectEvaluation criterionen_US
dc.subjectGround truthsen_US
dc.subjectIkonos datumen_US
dc.subjectPerformance evaluationsen_US
dc.subjectQuickbirden_US
dc.subjectElectric load managementen_US
dc.subjectPattern recognitionen_US
dc.subjectRemote sensingen_US
dc.subjectBuildingsen_US
dc.titlePerformance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 algorithm performance contesten_US
dc.typeConference Paperen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Performance evaluation of building detection and digital surface model extraction algorithms Outcomes of the PRRS 2008 algorithm performance contest.pdf
Size:
2.82 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Scholarly Publications - Computer Engineering