DocumentCode :
2198793
Title :
Combined use of TerraSAR-X and RADARSAT-2 data - A study of a virtual constellation
Author :
Lang, Oliver ; Weihing, Diana ; Gressler, Franziska ; Fahrland, Ernest ; Schrader, Henning ; Salow, Denis ; Minguy, Valerie ; Oswald, Michael ; Tinz, Marek
Author_Institution :
Astrium GEO-Inf. Services, Immenstaad, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3030
Lastpage :
3033
Abstract :
The objective of this project is to investigate the potential of the complementary use of TerraSAR-X and RADARSAT-2 data. Both satellites carry second generation SAR sensors capable of multiple acquisition modes like ScanSAR, Stripmap and Spotlight as well as multi-polarization options [1][2]. A systematic combined data use has clear advantages for many applications, for example an improved revisit of an area of interest (AOI), the availability of near coincident dual frequency data acquisitions and the potential for cross queuing of the two sensors. A problem which constrains the complementary usage of both data sources is the fact that both satellites are operated independently. As a consequence, users encounter difficulties at joint acquisition planning with an optimum combination of imaging modes. A detailed understanding on how to best utilize two independent spaceborne SAR systems in combination is therefore required.
Keywords :
geophysical image processing; radar imaging; radar interferometry; spaceborne radar; synthetic aperture radar; AOI; RADARSAT-2 data; ScanSAR; Spotlight; Stripmap; TerraSAR-X data; data sources; joint acquisition planning; multiple acquisition modes; multipolarization options; near coincident dual frequency data acquisition; satellites; second generation SAR sensor; systematic combined data; virtual constellation; Backscatter; Image sensors; Satellites; Sea ice; Sensors; Spaceborne radar; Synthetic aperture radar; Change Detection; RADARSAT-2; Sea-ice analysis; TerraSAR-X; Topographic Mapping;
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.2012.6350787
Filename :
6350787
Link To Document :
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