Publication: Research - peer-review › Article in proceedings – Annual report year: 2012
As SMOS data have been found to contain much more RFI than expected, methods for detecting RFI in SMOS data have been pursued. This paper describes a method using 3rd and 4th Stokes parameters for RFI detection in SMOS data. Obvious hot-spots are detected, as well as smaller but still detrimental RFI spreading out over for instance the ocean. It is also shown that detected samples statistically deviate (in Kelvin) more from their surroundings than other samples.
|Title||Proceedings of the 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)|
|Number of pages||4|
|Place of publication||Rome|
|Conference||12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)|
|Period||05/03/12 → 09/03/12|
|Citations||Web of Science® Times Cited: No match on DOI|
- Soil, Radio frequency interference, SMOS, Stokes parameters
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