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Título: | Strong RFI Impact Mitigation in the Synthetic Aperture Interferometric Radiometer |
Autor: | Park, Hyuk; Camps, Adriano CSIC ORCID; Vall-llossera, Mercè; González Gambau, Verónica | Fecha de publicación: | 2018 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) : Proceedings (2018) | Resumen: | Radio Frequency Interference (RFI) is one of the problems causing the performance degradation in passive microwave radiometry. Especially, Synthetic Aperture Interferometric Radiometer (SAIR) is quite vulnerable to strong RFI. The Soil Moisture Ocean Salinity (SMOS) brightness temperature images show serious contamination by the RFI. The RFI affection in SAIR images should be mitigated or filtered out to retrieve the geophysical parameters. This work presents a method to RFI mitigation/filtering for SAIRs. Different from the existing method processing the brightness temperature image directly, RFI filtering of the subspace of covariance matrix is introduced, and the results are shown. The proposed method shows decent results for strong RFI with efficiency compared to the existing methods | Descripción: | 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 27-30 March 2018, Cambridge, USA.-- 4 pages.-- © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works | Versión del editor: | https://doi.org/10.1109/MICRORAD.2018.8430723 | URI: | http://hdl.handle.net/10261/172625 | DOI: | 10.1109/MICRORAD.2018.8430723 | ISBN: | 978-1-5386-5015-8 |
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