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