SMOS亮度温度图像的空间误差校正技术

2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2012-03-05 DOI:10.1109/MICRORAD.2012.6185262

Wu Lin, F. Torres, I. Corbella, N. Duffo, M. Martín-Neira

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引用次数: 5

摘要

土壤水分和海洋盐度(SMOS)的亮度温度综合图像是经过综合定标和误差校正后得到的。然而，最终的图像仍然受到微小但不可忽略的空间误差的污染:所谓的像素偏差。这些误差已经被发现在SMOS无别名视场(AF-FoV)中非常稳定，并且可以通过在天线平面上对测量的亮度温度施加乘法掩模来在很大程度上减轻。本文介绍了将该掩模升级到覆盖SMOS扩展AF-FoV的过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance of a spatial error correction technique in SMOS brightness temperature images

Soil Moisture and Ocean Salinity (SMOS) brightness temperature synthesized images are obtained after a comprehensive calibration and error correction procedure. However, the final images are still contaminated by small but non-negligible spatial errors: the so-called pixel bias. These errors have been found to be very stable in the SMOS Alias-Free Field of View (AF-FoV) and can be mitigated, to a large extent, by applying a multiplicative mask to the measured brightness temperatures at the antenna plane. This paper describes the procedure to upgrade this mask to cover SMOS Extended AF-FoV.

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2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)

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