Palubinskas, Gintautas and Datcu, Mihai (2008) Information fusion approach for the data classification: an example for ERS-1/2 InSAR data. International Journal of Remote Sensing, 29 (16), pp. 4689-4703. Taylor & Francis. DOI: 10.1080/01431160801950154. ISSN 0143-1161.
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A huge amount of various remote sensing data have been acquired and archived during the recent years. Information extraction from these data is still a challenging task, for example using the data classification. We propose the Bayesian approach to image classification using information fusion from different sources of data. The method of classification is based on the three processing steps: (1) information fission by feature extraction, (2) data and dimensionality reduction by unsupervised clustering and (3) supervised classification with information fusion. The potential of the classification method is illustrated by the examples on ERS-1/2 Tandem interferometric synthetic aperture radar data. The continuity of tandem pairs of SAR images is ensured by already started or future missions such as TerraSAR-X, TanDEM-X and COSMO-SkyMed.
|Title:||Information fusion approach for the data classification: an example for ERS-1/2 InSAR data|
|Date:||20 August 2008|
|Journal or Publication Title:||International Journal of Remote Sensing|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 4689-4703|
|Publisher:||Taylor & Francis|
|Keywords:||feature extraction, clustering, classification, Bayesian inference, SAR|
|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 Bildwissenschaften (old)|
|Institutes and Institutions:||Remote Sensing Technology Institute|
|Deposited By:||Dr.math. Gintautas Palubinskas|
|Deposited On:||24 Jul 2008|
|Last Modified:||27 Apr 2009 14:08|
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