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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Bibliographic Details
Main Authors: Datcu, M., Cerra, D., Chaabouni, H., de Miguel, A., Molina, D.E., Schwarz, G., Soccorsi, M.
Format: Conference Proceeding
Language:English
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
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Description
Summary: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.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2008.4778798