Dergi makalesi Açık Erişim
Ozdemir, Bahadir; Aksoy, Selim; Eckert, Sandra; Pesaresi, Martino; Ehrlich, Daniele
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"affiliation": "Bilkent Univ, Dept Comp Engn, TR-06800 Ankara, Turkey",
"name": "Ozdemir, Bahadir"
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"affiliation": "Bilkent Univ, Dept Comp Engn, TR-06800 Ankara, Turkey",
"name": "Aksoy, Selim"
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"affiliation": "European Commiss, Joint Res Ctr, Inst Protect & Secur Citizen, I-21020 Ispra, VA, Italy",
"name": "Eckert, Sandra"
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"affiliation": "European Commiss, Joint Res Ctr, Inst Protect & Secur Citizen, I-21020 Ispra, VA, Italy",
"name": "Pesaresi, Martino"
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"affiliation": "European Commiss, Joint Res Ctr, Inst Protect & Secur Citizen, I-21020 Ispra, VA, Italy",
"name": "Ehrlich, Daniele"
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"description": "We propose a new procedure for quantitative evaluation of object detection algorithms. The procedure consists of a matching stage for finding correspondences between reference and output objects, an accuracy score that is sensitive to object shapes as well as boundary and fragmentation errors, and a ranking step for final ordering of the algorithms using multiple performance indicators. The procedure is illustrated on a building detection task where the resulting rankings are consistent with the visual inspection of the detection maps. (C) 2009 Elsevier B.V. All rights reserved.",
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"title": "PATTERN RECOGNITION LETTERS",
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