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A spectral feature based classification algorithm for characterization of urban surfaces in Munich
Stein, Enrico and Bachmann, Martin and Heldens, Wieke and Müller, Andreas and Schmullius, Christiane
(2009)
A spectral feature based classification algorithm for characterization of urban surfaces in Munich.
6th EARSeL-SIG-IS, 2009-03-16 - 2009-03-18, Tel Aviv, Israel.
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| Item URL in elib: | https://elib.dlr.de/212280/ |
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| Document Type: | Conference or Workshop Item (Poster) |
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| Title: | A spectral feature based classification algorithm for characterization of urban surfaces in Munich |
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| Authors: | | Authors | Institution or Email of Authors | Author's ORCID iD | ORCID Put Code |
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| Stein, Enrico | UNSPECIFIED | UNSPECIFIED | UNSPECIFIED | | Bachmann, Martin | UNSPECIFIED | https://orcid.org/0000-0001-8381-7662 | UNSPECIFIED | | Heldens, Wieke | Universität Würzburg | UNSPECIFIED | UNSPECIFIED | | Müller, Andreas | UNSPECIFIED | UNSPECIFIED | UNSPECIFIED | | Schmullius, Christiane | Uni Jena | UNSPECIFIED | UNSPECIFIED |
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| Date: | 2009 |
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| Refereed publication: | No |
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| Open Access: | Yes |
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| Gold Open Access: | No |
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| In SCOPUS: | No |
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| In ISI Web of Science: | No |
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| Status: | Published |
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| Keywords: | urban mapping, spectral features, knowledge-based classification, HyMap |
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| Event Title: | 6th EARSeL-SIG-IS |
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| Event Location: | Tel Aviv, Israel |
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| Event Type: | international Conference, Workshop |
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| Event Start Date: | 16 March 2009 |
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| Event End Date: | 18 March 2009 |
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| HGF - Research field: | Aeronautics, Space and Transport (old) |
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| HGF - Program: | Space (old) |
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| HGF - Program Themes: | W EO - Erdbeobachtung |
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| DLR - Research area: | Space |
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| DLR - Program: | W EO - Erdbeobachtung |
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| DLR - Research theme (Project): | W - Vorhaben Prozesse der Landoberfläche (old) |
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Location: |
Oberpfaffenhofen
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| Institutes and Institutions: | German Remote Sensing Data Center > Land Surface Dynamics |
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| Deposited By: |
Bachmann, Dr.rer.nat. Martin
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| Deposited On: | 30 Jan 2025 09:12 |
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| Last Modified: | 30 Jan 2025 09:12 |
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