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

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      Author
      Aksoy, Selim
      Özdemir, Bahadır
      Eckert, S.
      Kayitakire, F.
      Pesarasi, M.
      Aytekin, O.
      Borel, C. C.
      Cech, J.
      Christophe, E.
      Düzgün, S.
      Erener, A.
      Ertugay, K.
      Hussain, E.
      Inglada, J.
      Lefévrë, S.
      Ok, Ö.
      San, D. K.
      Šára, R.
      Shan, J.
      Soman, J.
      Ulusoy, I.
      Witz, R.
      Date
      2008-12
      Source Title
      IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      This 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.
      Keywords
      Algorithm performance
      Automatic building detections
      Building detections
      Data sets
      Digital surface models
      Evaluation criterion
      Ground truths
      Ikonos datum
      Performance evaluations
      Quickbird
      Electric load management
      Pattern recognition
      Remote sensing
      Buildings
      Permalink
      http://hdl.handle.net/11693/26776
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/PRRS.2008.4783173
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