Title :
Rfianalysis in smos imagery
Author :
Camps, Adriano ; Gourrion, Jérôme ; Tarongí, José Miguel ; Gutiérrez, Antonio ; Barbosa, Jose ; Castro, Rita
Author_Institution :
Deparment of Signal Theor. & Commun., Univ. Politec. de Catalunya, Barcelona, Spain
Abstract :
SMOS imagery has been analyzed to study: 1) radio-frequency interference (RFI) detection and mitigation algorithms, and 2) the statistical properties of RFI. Results show that with a high probability of detection (~0.75), the probability of false alarm is very high as well (~0.68), and most snap-shots seem to be contaminated, even though the estimated RFI value is so weak, and the impact in the SMOS imagery is not even noticeable. Results of the detection and mitigation algorithm are presented, with the statistical analysis of more than 13000 L1b snap-shots.
Keywords :
probability; radiofrequency interference; signal detection; statistical analysis; RFI analysis; RFI detection; SMOS imagery; detection probability; false alarm probability; mitigation algorithms; radiofrequency interference; snap shots; statistical analysis; statistical properties; Apertures; Decision support systems; Density functional theory; Imaging; Interference; Kelvin; Radiometers; RFI; SMOS; probability of detection; probability of false alarm;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5654268
