Title | ||
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Building types' classification using shape-based features and linear discriminant functions |
Abstract | ||
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In this paper, the applicability and performance of linear discriminant analysis (LDA) for building types' classification are investigated. Building models at a level of detail 1 (LoD1) are derived from real estate cadastral building footprints and digital surface models from stereoscopic airborne images. In several experiments for two cities in Germany (Berlin and Munich), we first evaluate the d... |
Year | DOI | Venue |
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2016 | 10.1109/JSTARS.2015.2465131 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Buildings,Approximation methods,Remote sensing,Cities and towns,Atmospheric modeling,Data models,Shape | Data modeling,Data mining,Remote sensing,Perimeter,Artificial intelligence,Computer vision,Kappa,Level of detail,Stereoscopy,Linear discriminant analysis,Linear classifier,Sample size determination,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 5 | 1939-1404 |
Citations | PageRank | References |
8 | 0.56 | 16 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Wurm | 1 | 120 | 19.76 |
Andreas Schmitt | 2 | 57 | 7.20 |
Hannes Taubenböck | 3 | 150 | 28.27 |