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Automated Information Extraction from TerraSAR-X Data: The Content Map
While typical remote sensing imaging instruments produce more and more data, what we miss today are reliable tools for automated information extraction form these images. In the following, we propose a so-called Content Map, a novel Earth Observation value adding product. Basically, it comprises sev...
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| creator | Datcu, M. Cerra, D. Chaabouni, H. de Miguel, A. Molina, D.E. Schwarz, G. Soccorsi, M. |
| description | While typical remote sensing imaging instruments produce more and more data, what we miss today are reliable tools for automated information extraction form these images. In the following, we propose a so-called Content Map, a novel Earth Observation value adding product. Basically, it comprises several class files and a viewer showing the different classes of land use and objects contained in the corresponding image data. In order to avoid processing delays, the class files have to be generated in an unsupervised mode as a real time product; thus, interactive user interactions have to be limited to training and testing intervals. As typical examples we use image data of the German TerraSAR-X mission that produces SAR image data in a variety of different modes. |
| doi_str_mv | 10.1109/IGARSS.2008.4778798 |
| format | conference_proceeding |
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| identifier | ISSN: 2153-6996 |
| ispartof | IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008, Vol.1, p.I-82-I-85 |
| issn | 2153-6996 2153-7003 |
| language | eng |
| recordid | cdi_ieee_primary_4778798 |
| source | IEEE Xplore All Conference Series |
| subjects | Algorithm design and analysis Data mining Feature extraction feature selection Image processing information extraction Information theory Instruments Optical sensors Polarization Remote sensing SAR TerraSAR-X Testing |
| title | Automated Information Extraction from TerraSAR-X Data: The Content Map |
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