Feature evaluation for building facade images - an empirical study

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Yang, Michael Ying; Foerstner, Wolfgang; Chai, Dengfeng: Feature evaluation for building facade images - an empirical study. In: Shortis, M.; Paparoditis, N.; Mallet, C. (Eds.): XXII ISPRS Congress, Technical Commission III. Katlenburg-Lindau : Copernicus Publications, 2012 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 39-B3), S. 513-518. DOI: https://doi.org/10.5194/isprsarchives-XXXIX-B3-513-2012

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Sum total of downloads: 169




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Abstract: 
The classification of building facade images is a challenging problem that receives a great deal of attention in the photogrammetry community. Image classification is critically dependent on the features. In this paper, we perform an empirical feature evaluation task for building facade images. Feature sets we choose are basic features, color features, histogram features, Peucker features, texture features, and SIFT features. We present an approach for region-wise labeling using an efficient randomized decision forest classifier and local features. We conduct our experiments with building facade image classification on the eTRIMS dataset, where our focus is the object classes building, car, door, pavement, road, sky, vegetation, and window.
License of this version: CC BY 3.0 Unported
Document Type: bookPart
Publishing status: publishedVersion
Issue Date: 2012
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 72 42.60%
2 image of flag of China China 20 11.83%
3 image of flag of United States United States 16 9.47%
4 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 16 9.47%
5 image of flag of United Kingdom United Kingdom 8 4.73%
6 image of flag of Taiwan Taiwan 4 2.37%
7 image of flag of Russian Federation Russian Federation 3 1.78%
8 image of flag of Netherlands Netherlands 3 1.78%
9 image of flag of Iraq Iraq 3 1.78%
10 image of flag of Colombia Colombia 3 1.78%
    other countries 21 12.43%

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