SMOS图像重建算法:将带限方法扩展到MIRAS的全偏振模式

A. Khazâal, É. Anterrieu
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引用次数: 4

摘要

现在已经确定,合成孔径成像辐射计(SAIR)有望成为在低微波频率下对地球进行高分辨率观测的强大传感器。在此背景下,欧洲空间局目前正在发展SMOS任务,专门利用二维干涉仪获得的Lband空间辐射观测数据在全球范围内监测土壤湿度和海洋盐度。这一贡献涉及从干涉测量中重建辐射亮度温度图。将带限解析矩阵的概念推广到全极化数据的处理中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SMOS image reconstruction algorithm: Extension of the band limited approach to the fully-polarimetric mode of MIRAS
It is now well established that Synthetic Aperture Imaging Radiometers (SAIR) promise to be powerful sensors for high-resolution observations of the earth at low microwave frequencies. Within this context, the European Space Agency is currently developing the SMOS mission devoted to the monitoring of Soil Moisture and Ocean Salinity at global scale from Lband space borne radiometric observations obtained with a two-dimensional interferometer. This contribution is concerned with the reconstruction of radiometric brightness temperature maps from interferometric measurements. It extends the concept of band-limited resolving matrix to the case of the processing of full-polarimetric data.
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