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Determination and verification of robust spectral features for an automated classification of sealed urban surfaces.

Heiden, Uta und Segl, Karl und Roessner, Sigrid und Kaufmann, Hermann (2005) Determination and verification of robust spectral features for an automated classification of sealed urban surfaces. In: Proceedings of the 4th EARSeL Workshop on Imaging Spectroscopy in Warsaw, Seiten 151-159. 4th EARSeL Workshop on Imaging Spectroscopy, 2005-04-27 - 2005-04-29, Warsaw, Poland.

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Kurzfassung

Urban surface materials have an immense influence on ecological conditions of urban areas. In this context, frequent material-oriented identification of urban surfaces can support municipal authorities in planning processes. This requires hyperspectral remote sensing data that are characterized by high spectral and spatial resolution. For full exploitation of the information content, detailed spectral knowledge of urban surfaces is required and automated methods are needed for effective processing of those data. In this study, a methodology for the determination and validation of materials-specific spectral features has been developed that can be used for automated identification of urban surface materials. It is demonstrated for representative urban surfaces in the cities of Dresden and Potsdam, Germany. First, an urban spectral library consisting of field and image spectra was developed that has been analyzed in regard to typical spectral features and their variations. Based on a visual analysis, robust features that are highly independent of spectral variations caused by e.g. illumination and degradation have been selected. The quality of these features has been validated in regard to an improved separability of urban surface materials analyzing a confusion matrix within a classification process. For this purpose, the features were described numerically using adapted feature functions. The results of the classification show a very good separability especially for predominantly bright urban surfaces, but also for darker materials with weak reflectance features. Even differentiation between spectrally similar urban surfaces was feasible. The derived robust spectral features reduce the need for test-site-specific training information. This way, the developed methodology represents an important step towards fully-automated identification of urban surfaces.

Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Determination and verification of robust spectral features for an automated classification of sealed urban surfaces.
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Heiden, UtaNICHT SPEZIFIZIERT
Segl, KarlGFZ Potsdam
Roessner, SigridGFZ Potsdam
Kaufmann, HermannGFZ Potsdam
Datum:2005
Erschienen in:Proceedings of the 4th EARSeL Workshop on Imaging Spectroscopy in Warsaw
Referierte Publikation:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seiten 151-159
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der Herausgeber
Zagajewski, BogdanNICHT SPEZIFIZIERT
Sobczak, MartinNICHT SPEZIFIZIERT
Status:veröffentlicht
Stichwörter:imaging spectroscopy, spectral separability, urban surface materials, numerical features
Veranstaltungstitel:4th EARSeL Workshop on Imaging Spectroscopy
Veranstaltungsort:Warsaw, Poland
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:2005-04-27 - 2005-04-29
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Umwelt und Sicherheit > Umwelt und Geoinformation
Hinterlegt von: Dr.rer.nat. Uta Heiden
Hinterlegt am:20 Mär 2006
Letzte Änderung:27 Apr 2009 05:02

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