Study on polarisation ratio for X-band using dual-polarisation Terra-SAR X image
Shao W, Lehner S, Guan C (2012)
Publication Type: Conference contribution
Publication year: 2012
Pages Range: 3768-3771
Conference Proceedings Title: International Geoscience and Remote Sensing Symposium (IGARSS)
Event location: DEU
DOI: 10.1109/IGARSS.2012.6350497
Abstract
In this study, we present the analysis of measurements of normalized radar cross section (NRCS) and the polarisation ratio (PR) in dual-polarisation TerraSAR-X (TS-X) images. Based on two PR functions proposed for C-band SAR (denoted as the Thompson model and Elfouhaily model respectively) and the relationship between NRCS and incidence angle for X-band (it is called X-PR), three PR models are tuned using 45 dual-polarisation TS-X images. The PR is found to be dependent of the incidence angle and VV-polarisation NRCS is larger than HH-polarisation NRCS when the incidence angle is larger than 23°. A total of 20 HH-polarisation TS-X images are analyzed for retrieving the wind field using three PR models and XMOD algorithm together. The results are compared to QuikSCAT data and buoy measurements for validation. The root-mean-square error (RMSE) of wind speed is 2.34m/s, 2.16m/s and 1.99m/s with a correlation of 0.82, 0.87 and 0.88 by using Thompson model, Elfouhaily model and X-PR model respectively for the cases. © 2012 IEEE.
Involved external institutions
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) / German Aerospace Center
Germany (DE)
Ocean University of China / 中国海洋大学
China (CN)
Germany (DE)
Ocean University of China / 中国海洋大学
China (CN)
How to cite
APA:
Shao, W., Lehner, S., & Guan, C. (2012). Study on polarisation ratio for X-band using dual-polarisation Terra-SAR X image. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 3768-3771). DEU.
MLA:
Shao, Weizeng, Susanne Lehner, and Changlong Guan. "Study on polarisation ratio for X-band using dual-polarisation Terra-SAR X image." Proceedings of the 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, DEU 2012. 3768-3771.
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