Performance Evaluation of Building Detection and Digital Surface Model Extraction Algorithms: Outcomes of the PRRS 2008 Algorithm Performance Contest

Date

2008-01-01

Author

Aksoy, Selim
Ozdemir, Bahadir
Eckert, Sandra
Kayitakire, Francois
Pesarasi, Martino
Aytekin, Orsan
Borel, Christoph C.
Cech, Jan
Christophe, Emmanuel
Duzgun, Sebnem
Erener, Arzu
Ertugay, Kivanc
Hussain, Ejaz
Inglada, Jordi
Lefevre, Sebastien
Ok, Oezguen
San, Dilek Koc
Sara, Radim
Shan, Jie
Soman, Jyothish
Ulusoy, İlkay
Witz, Regis

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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.

URI

https://hdl.handle.net/11511/95203

DOI

https://doi.org/10.1109/prrs.2008.4783173

Conference Name

5th IAPR Workshop on Pattern Recognition in Remote Sensing

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

S. Aksoy et al., “Performance Evaluation of Building Detection and Digital Surface Model Extraction Algorithms: Outcomes of the PRRS 2008 Algorithm Performance Contest,” presented at the 5th IAPR Workshop on Pattern Recognition in Remote Sensing, Tama, Japonya, 2008, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/95203.