WLS filter for reducing atmospheric effects in spaceborne SAR tomography
来源期刊：中南大学学报(英文版)2014年第10期
论文作者：DONG Zhen(董臻) SUN Xi-long(孙希龙) YU An-xi(余安喜) SUN Zao-yu(孙造宇) LIANG Dian-nong(梁甸农)
文章页码：3889 - 3895
Key words：synthetic aperture radar tomography; 3-D image; weighted least-squares; autofocus; atmospheric effects
Abstract: A new approach was presented to eliminate the atmosphere-induced phase error utilizing only the single look complex (SLC) synthetic aperture radar (SAR) image set. This method exploited the space-invariance characteristic of phase error components contained in image pixels and estimates the phase error using the weighted least-squares (WLS) filter. Actually, this sort of method can be classified as autofocus algorithm which was generally applied in airborne SAR 2-D imaging to compensate the phase error introduced by airplane’s nonideal motion. Real data processing, which is relevant to Honda center and Angel stadium of Anaheim test-sites and acquired by Envisat-ASAR during the period from June 2004 to October 2007, was carried out to evaluate this WLS estimation algorithm. Experimental results show that the phase error estimated from WLS filter is very accurate and the focusing quality along NSR dimension is improved prominently via phase correction, which verifies the practicability of this new method.
DONG Zhen(董臻), SUN Xi-long(孙希龙), YU An-xi(余安喜), SUN Zao-yu(孙造宇), LIANG Dian-nong(梁甸农)
(School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
Abstract:A new approach was presented to eliminate the atmosphere-induced phase error utilizing only the single look complex (SLC) synthetic aperture radar (SAR) image set. This method exploited the space-invariance characteristic of phase error components contained in image pixels and estimates the phase error using the weighted least-squares (WLS) filter. Actually, this sort of method can be classified as autofocus algorithm which was generally applied in airborne SAR 2-D imaging to compensate the phase error introduced by airplane’s nonideal motion. Real data processing, which is relevant to Honda center and Angel stadium of Anaheim test-sites and acquired by Envisat-ASAR during the period from June 2004 to October 2007, was carried out to evaluate this WLS estimation algorithm. Experimental results show that the phase error estimated from WLS filter is very accurate and the focusing quality along NSR dimension is improved prominently via phase correction, which verifies the practicability of this new method.
Key words:synthetic aperture radar tomography; 3-D image; weighted least-squares; autofocus; atmospheric effects
