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In the SMOS measurements, the negative effect of RadioFrequency
Interference (RFI) is clearly present, deteriorating
the Brightness Temperature (BT) images. RFI sources have
to be monitored and accurately geolocated in order to
improve the quality of geophysical parameter retrieval from
the SMOS BT image, and eventually develop algorithm to
cancel them. This paper present a case study of SMOS RFI
source detection and geolocation based on MUSIC
(MUltiple SIgnal Classification) algorithm. Thanks to the
high angular/spatial resolution of MUSIC algorithm, the RFI
sources densely populated in East Asia can be separately
geolocated, which is difficult using SMOS standard
brightness temperature images.
CitationPark, H., Camps, A., Gonzalez, V. Geolocalizing SMOS RFI sources on the densely populated East Asia. A: IEEE International Geoscience and Remote Sensing Symposium. "2015 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 26–31, 2015: Milan, Italy". Milan: 2015, p. 1453-1456.
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