Performance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 algorithm performance contest
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
2008-12Source Title
IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008
Publisher
IEEE
Language
English
Type
Conference PaperItem 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 performanceAutomatic 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