ESA's soil moisture and ocean salinity mission, SMOS, has been found to suffer much more from radio frequency interference (RFI) than expected, and methods for detecting RFI in SMOS data are of vital importance. This paper describes a method using the 3rd and 4th Stokes parameters for the purpose. Obvious hot-spots are detected, but also smaller, yet still detrimental RFI, spreading out over for example the ocean, is detected. It is also discussed how detected and flagged samples statistically deviate from their surroundings.
Ieee International Geoscience and Remote Sensing Symposium Proceedings, 2012, p. 3320-3323
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Ieee International Geoscience and Remote Sensing Symposium
IEEE International Geoscience and Remote Sensing SymposiumIEEE International Geoscience and Remote Sensing Symposium, 2012