SMOS天线的亮温空间相关

J. Martínez, A. Turiel, V. González-Gambau, E. Olmedo
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引用次数: 0

摘要

自2009年发射以来,欧洲航天局的土壤湿度和海洋盐度(SMOS)任务致力于提供全球土壤湿度和海洋表面盐度值。SMOS采用孔径合成的L波段二维干涉辐射计获得偏振亮度温度图像。本工作致力于计算被测天线亮度温度的空间相关性。这些相关性可以用有效点扩展函数(psf)来描述。因此,SMOS的psf也被计算为天线的每个点。从SMOS数据出发,发现两点相关性和点扩展函数可以被假设为平移不变量。因此,psf可以用卷积核来描述。虽然计算两点相关需要大约一个月的数据,但PSF卷积核可以使用单个轨道计算。这一事实,允许我们使用它作为一个度量,以评估在处理程序或校准方法的变化的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brightness temperature spatial correlations in SMOS antenna
The European Space Agency mission Soil Moisture and Ocean Salinity (SMOS) is devoted, since its launch in 2009, to provide global soil moisture and sea surface salinity values. SMOS uses an L band 2-D interferometric radiometer by aperture synthesis to obtain polarimetric brightness temperature images. This work is devoted to compute the spatial correlations in the measured antenna brightness temperature. Those correlations can be characterized in terms of effective point spread functions (PSFs). Thus, the PSFs for SMOS are also computed for each point of the antenna. Departing from SMOS data, it is found that two-point correlations, as well as point spread functions, can be assumed as translational invariants. Therefore, PSFs can be described in terms of a convolution kernel. Although computing two-point correlation needs about one month of data, the PSF convolution kernel can be computed using a single orbit. This fact, allows us to use it as a metric to assess the effect of changes in processing procedures or calibration methods.
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