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

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

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Official 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

Abstract

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.

Document Type:Article
Title:Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data
Authors:
AuthorsInstitution or Email of Authors
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
Date:20 November 2007
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:111
DOI:10.1016/j.rse.2007.04.008
Page Range:pp. 537-552
Publisher:Elsevier
ISSN:0034-4257
Status:Published
Keywords:Urban surface materials; Urban spectral image library; Robust spectral features; Feature-based techniques; Separability analysis; HyMap sensor
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security > Environment and Geoinformation
Deposited By: Dr.rer.nat. Uta Heiden
Deposited On:17 Dec 2007
Last Modified:22 Apr 2013 14:48

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