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Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data

Heiden, Uta und Segl, Karl und Roessner, Sigrid und Kaufmann, Hermann (2007) Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data. Remote Sensing of Environment, 111, Seiten 537-552. Elsevier. DOI: 10.1016/j.rse.2007.04.008. ISSN 0034-4257.

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Offizielle URL: http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V6V-4P127BY-3&_user=100058&_coverDate=12%2F28%2F2007&_alid=664246954&_rdoc=10&_fmt=summary&_orig=search&_cdi=5824&_sort=d&_docanchor=&view=c&_ct=42&_acct=C000007338&_version=1&_urlVersion=0&_useri

Kurzfassung

Hyperspectral remote sensing data open up new opportunities for analyzing urban areas characterized by a large variety of spectrally distinct surface materials. Spectroscopic analysis using diagnostic spectral features yields the potential for automated identification and mapping of these materials. This study proposes a new approach for the determination and evaluation of such spectral features that are robust against spectral overlap between material classes and within-class variability. Analysis is based on comprehensive field and image spectral libraries of more than 21,000 spectra of surface materials widely-used in German cities. The robustness of the interactively defined spectral features is evaluated by a separability analysis. This method is performed based on confusion matrices for each material computed from classification results. For comparison this analysis is also performed for material-specific gray values of selected bands. The obtained commission and omission errors show superiority of the spectral features compared to gray values for most of the investigated materials. The results indicate that robust spectral features yield the potential for unsupervised detection of endmembers in hyperspectral image data.

Dokumentart:Zeitschriftenbeitrag
Titel:Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Heiden, Utauta.heiden@dlr.de
Segl, KarlGeoForschungsZentrum Potsdam (GFZ), Department of Geodesy and Remote Sensing, Remote Sensing Section
Roessner, SigridGeoForschungsZentrum Potsdam (GFZ), Department of Geodesy and Remote Sensing, Remote Sensing Section
Kaufmann, HermannGeoForschungsZentrum Potsdam (GFZ), Department of Geodesy and Remote Sensing, Remote Sensing Section
Datum:20 November 2007
Erschienen in:Remote Sensing of Environment
Referierte Publikation:Ja
In Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:111
DOI :10.1016/j.rse.2007.04.008
Seitenbereich:Seiten 537-552
Verlag:Elsevier
ISSN:0034-4257
Status:veröffentlicht
Stichwörter:Urban surface materials; Urban spectral image library; Robust spectral features; Feature-based techniques; Separability analysis; HyMap sensor
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 Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Umwelt und Sicherheit > Umwelt und Geoinformation
Hinterlegt von: Dr.rer.nat. Uta Heiden
Hinterlegt am:17 Dez 2007
Letzte Änderung:22 Apr 2013 14:48

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