@InProceedings{PRRS-Contest-2008,
  IS = { zkontrolovano 30 Mar 2009 },
  UPDATE  = { 2009-03-23 },
  author =	 {Selim Aksoy and Bahad{\i}r {\"O}zdemir and Sandra Eckert and
                  Francois Kayitakire and Martino Pesaresi and Orsan Aytekin
                  and Christoph C. Borel and Jan {\v C}ech and Emmanuel
                  Christophe and {\c S}ebnem D{\"u}zg{\"u}n and Arzu Erener
                  and K{\i}van{\c c} Ertugay and Ejaz Hussain and Jordi
                  Inglada and S{\'e}bastien Lef{\`e}vre and {\" O}zg{\"u}n Ok
                  and Dilek Ko{\c c} San and Radim {\v S}{\'a}ra and Jie Shan
                  and Jyothish Soman and Ilkay Ulusoy and R{\'e}gis Witz},
  title =	 {Performance Evaluation of Building Detection and Digital
                  Surface Model Extraction Algorithms: Outcomes of the {PRRS}
                  2008 Algorithm Performance Contest},
  year =	 {2008},
  pages =	 {1-12},
  booktitle =	 {PRRS 2008: Proceedings of the 5th IAPR Workshop on Pattern
                  Recognition in Remote Sensing},
  publisher =	 {IEEE},
  address =	 {Piscataway, USA},
  isbn =	 {978-1-4244-2653-9},
  book_pages =	 {not available, electronic proceedings},
  month =	 {December},
  day =		 {7},
  venue =	 {Tampa, Florida, USA},
  annote = {This paper presents the initial results of the Algorithm
    Performance Contest that was organized as part of the 5th IAPR
    Workshop 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.},
  keywords =	 {stereoscopic vision, performance evaluation},
  prestige =	 {international},
  note =	 {CD-ROM},
  project =	 {1ET101210406, specificky vyzkum},
}