| 题名: | SMOS SIMPLIFIED ITERATIVE FULL-POL BRIGHTNESS TEMPERATURE RETRIEVAL |
| 作者: | Duran, Israel; Lin, Wu; Torres, Francesc; Corbella, Ignasi; Duffo, Nuria; Martin-Neira, Manuel
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| 作者部门: | 微波遥感部
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| 通讯作者: | Duran, I (reprint author), Univ Politecn Cataluna, SMOS Barcelona Expert Ctr, Remote Sensing Lab, Barcelona, Spain.
|
| 会议名称: | 36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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| 会议日期: | JUL 10-15, 2016
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| 会议地点: | Beijing, PEOPLES R CHINA
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| 会议录: | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
|
| 出版日期: | 2016
|
| 收录类别: | EI
; CPCI
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| 页码: | 842-845
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| ISSN号: | 2153-6996
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| ISBN号: | 978-1-5090-3332-4
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| 关键词: | radiometer
; interferometer
; imaging
; errors
; SMOS
|
| 英文摘要: | SMOS is the acronym for the Soil Moisture and Ocean Salinity mission by the European Space Agency (ESA) [1]. Its single payload, the Microwave Imaging Radiometer using Aperture Synthesis (MIRAS), was successfully launched in November 2009. Along more than six years of operation, SMOS calibration and imaging algorithms have undergone a continuous evolution to further improve the accuracy of the retrieved geophysical parameters for a variety of scientific applications related with soil moisture and ocean salinity [2]. This paper analyzes a simplified iterative image reconstruction method that exclusively takes into account the dominant terms in the full-polarimetric equation [3]. This simplified method, that reduces computation time up to 50% at the cost of small radiometric performance degradation, is useful to the L1 teams to fine tune the calibration of the instrument when processing a large amount of data is required. |
| 语种: | 英语
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| 内容类型: | 会议论文
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| URI标识: | http://ir.nssc.ac.cn/handle/122/5790
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| Appears in Collections: | 微波遥感部_会议论文
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| File Name/ File Size |
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| 201607729213.pdf（792KB） | 会议论文 | -- | 限制开放 | | View
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| Recommended Citation: | |
Duran, Israel,Lin, Wu,Torres, Francesc,et al. SMOS SIMPLIFIED ITERATIVE FULL-POL BRIGHTNESS TEMPERATURE RETRIEVAL[C]. 见:36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing, PEOPLES R CHINA. JUL 10-15, 2016.
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