DocumentCode :
483864
Title :
Automated Information Extraction from TerraSAR-X Data: The Content Map
Author :
Datcu, M. ; Cerra, D. ; Chaabouni, H. ; de Miguel, A. ; Molina, D. Espinoza ; Schwarz, G. ; Soccorsi, M.
Author_Institution :
German Aerosp. Center (DLR), Remote Sensing Technol. Inst. (IMF), Wessling
Volume :
1
fYear :
2008
fDate :
7-11 July 2008
Abstract :
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.
Keywords :
feature extraction; geophysical techniques; geophysics computing; remote sensing by radar; synthetic aperture radar; Content Map; Earth Observation value adding product; German TerraSAR-X mission; SAR image data; automated information extraction; land use; remote sensing imaging instruments; Algorithm design and analysis; Data mining; Feature extraction; Image processing; Information theory; Instruments; Optical sensors; Polarization; Remote sensing; Testing; Remote sensing; SAR; TerraSAR-X; feature selection; information extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4778798
Filename :
4778798
Link To Document :
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