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Open AccessArticle

Improved Faraday Rotation Estimation in Spaceborne PolSAR Data Using Total Variation Denoising

1
Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Haidian district, Beijing 100094, China
2
National Key Laboratory of Electromagnetic Environment, China Research Institute of Radiowave Propagation, Qingdao 266107, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(24), 2943; https://doi.org/10.3390/rs11242943
Received: 26 October 2019 / Revised: 25 November 2019 / Accepted: 6 December 2019 / Published: 9 December 2019
(This article belongs to the Special Issue Remote Sensing of Ionosphere Observation and Investigation)
Faraday rotation (FR) is a serious problem for spaceborne polarization SAR (PolSAR) systems at L and P bands. One way to solve the problem is to estimate the FR from PolSAR data for further compensation. Therefore, precise estimation of FR from PolSAR data not only determines the compensation effect of polarimetric systems but also benefits the ionospheric sounding with high spatial resolution. Among the factors that affect the FR estimation, system noise is a non-neglectable factor. Although average filtering (AF) has been widely used in previous works for noise removing it depends on large window size, and therefore reduces the spatial resolution of FR estimation. In order to realize optimal noise suppression with minimized resolution loss, the total variation (TV) denoising method is applied in this paper. By testing the Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) full-pol datasets, TV and AF are compared and validated. Results using synthetic and real data show that, after TV denoising, the FR can be recovered with high spatial resolution and the noise level in estimated FR is reduced more effectively than that after AF. View Full-Text
Keywords: polarimetric SAR (PolSAR); Faraday rotation; total variation (TV) denoising; average filtering polarimetric SAR (PolSAR); Faraday rotation; total variation (TV) denoising; average filtering
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MDPI and ACS Style

Guo, W.; Liu, L.; Liu, B.; Chen, L.; Zhao, H.; Wang, C. Improved Faraday Rotation Estimation in Spaceborne PolSAR Data Using Total Variation Denoising. Remote Sens. 2019, 11, 2943. https://doi.org/10.3390/rs11242943

AMA Style

Guo W, Liu L, Liu B, Chen L, Zhao H, Wang C. Improved Faraday Rotation Estimation in Spaceborne PolSAR Data Using Total Variation Denoising. Remote Sensing. 2019; 11(24):2943. https://doi.org/10.3390/rs11242943

Chicago/Turabian Style

Guo, Wulong; Liu, Lu; Liu, Bo; Chen, Liang; Zhao, Haisheng; Wang, Cheng. 2019. "Improved Faraday Rotation Estimation in Spaceborne PolSAR Data Using Total Variation Denoising" Remote Sens. 11, no. 24: 2943. https://doi.org/10.3390/rs11242943

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