Data-driven Feature Learning for High Resolution Urban Land-Cover Classification
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Author
Date
2015Type
- Doctoral Thesis
ETH Bibliography
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Permanent link
https://doi.org/10.3929/ethz-a-010414770Publication status
publishedExternal links
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Contributors
Examiner: Schindler, Konrad
Publisher
ETH-ZürichSubject
DATA MINING (MATHEMATICAL STATISTICS); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); PHOTOGRAMMETRY AERIAL AND TERRESTRIAL; MUSTERERKENNUNG (GEODÄSIE); URBAN HYDRAULIC ENGINEERING (CIVIL ENGINEERING); DATA MINING (MATHEMATISCHE STATISTIK); SIEDLUNGSWASSERBAU (BAUINGENIEURWESEN); REMOTE SENSING + FERNMESSUNG + FERNERKUNDUNG (GEODÄSIE); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); PHOTOGRAMMETRIE + BILDMESSUNG; REMOTE SENSING (GEODESY); PATTERN RECOGNITION (GEODESY); CLUSTER ANALYSIS + CLASSIFICATION (MATHEMATICAL STATISTICS); CLUSTERANALYSE + KLASSIFIKATION (MATHEMATISCHE STATISTIK)Organisational unit
03886 - Schindler, Konrad / Schindler, Konrad
02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.
02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry
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ETH Bibliography
yes
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