DocumentCode :
2194202
Title :
Radar backscatter characterization approach combining global TanDEM-X data
Author :
Rizzoli, Paola ; Bräutigam, Benjamin
Author_Institution :
Microwaves & Radar Inst., German Aerosp. Center (DLR), Oberpfaffenhofen, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3305
Lastpage :
3308
Abstract :
Global radar backscatter data can be used for accurate performance estimation and instrument setting optimization for Synthetic Aperture Radar (SAR) systems, e.g. in the TerraSAR-X and TanDEM-X missions. Both missions offer global remote sensing data in order to characterize X-band backscatter by performing a statistical analysis on SAR image quicklooks. A new approach for the estimation of radar backscatter for any polarization, ground classification type and incidence angle is presented, recurring to the use of SAR data coming from the TanDEM-X mission. The introduction of topographical information on the illuminated ground area allows for the discrimination of backscatter samples which are not affected by shadowing and layover, increasing the reliability of the estimation approach. The analysis technique is presented, leading to the generation of a set of X-band backscatter models. First results, obtained using TanDEM-X SAR data, are introduced.
Keywords :
backscatter; radar imaging; remote sensing by radar; statistical analysis; synthetic aperture radar; SAR image quicklooks; SAR systems; Synthetic Aperture Radar; TanDEM-X mission; TerraSAR-X mission; backscatter samples; estimation approach; global TanDEM-X data; global remote sensing data; illuminated ground area; incidence angle; instrument setting optimization; layover; performance estimation; radar backscatter characterization approach; shadowing; statistical analysis; topographical information; Backscatter; Data models; Histograms; Remote sensing; Spaceborne radar; Synthetic aperture radar; SAR; TanDEM-X; TerraSAR-X; X-band; backscatter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350597
Filename :
6350597
Link To Document :
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