Automated Information Extraction from TerraSAR-X Data: The Content Map
| Autor: | Mihai Datcu, Gottfried Schwarz, A. de Miguel, Daniele Cerra, D.E. Molina, H. Chaabouni, Matteo Soccorsi |
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| Rok vydání: | 2008 |
| Předmět: |
Synthetic aperture radar
Class (computer programming) Earth observation Land use Computer science business.industry Feature extraction Feature selection computer.software_genre Information extraction Product (mathematics) Radiometry Computer vision Artificial intelligence business Image resolution computer |
| Zdroj: | IGARSS (1) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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