Determination and verification of robust spectral features for an automated classification of sealed urban surfaces.
Heiden, Uta and Segl, Karl and Roessner, Sigrid and 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, pp. 151-159. 4th EARSeL Workshop on Imaging Spectroscopy, 2005-04-27 - 2005-04-29, Warsaw, Poland.
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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.
|Document Type:||Conference or Workshop Item (Speech)|
|Title:||Determination and verification of robust spectral features for an automated classification of sealed urban surfaces.|
|Journal or Publication Title:||Proceedings of the 4th EARSeL Workshop on Imaging Spectroscopy in Warsaw|
|In ISI Web of Science:||No|
|Page Range:||pp. 151-159|
|Keywords:||imaging spectroscopy, spectral separability, urban surface materials, numerical features|
|Event Title:||4th EARSeL Workshop on Imaging Spectroscopy|
|Event Location:||Warsaw, Poland|
|Event Type:||international Conference|
|Event Dates:||2005-04-27 - 2005-04-29|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Space|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||W - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (old)|
|Institutes and Institutions:||German Remote Sensing Data Center > Environment and Security > Environment and Geoinformation|
|Deposited By:||Dr.rer.nat. Uta Heiden|
|Deposited On:||20 Mar 2006|
|Last Modified:||27 Apr 2009 05:02|
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