DocumentCode :
1508857
Title :
Detection of Radio-Frequency Interference Signal Over Land From FY-3B Microwave Radiation Imager (MWRI)
Author :
Zou, Xiaolei ; Zhao, Juan ; Weng, Fuzhong ; Qin, Zhengkun
Author_Institution :
Dept. of Earth, Ocean & Atmos. Sci., Florida State Univ., Tallahassee, FL, USA
Volume :
50
Issue :
12
fYear :
2012
Firstpage :
4994
Lastpage :
5003
Abstract :
The MicroWave Radiation Imager (MWRI) onboard the FengYun (FY)-3B satellite has five frequencies at 10.65, 18.7, 23.8, 36.5, and 89.0 GHz, each having dual channels at vertical and horizontal polarization states, respectively. It is found that radio-frequency interference (RFI) is present in MWRI data over land. The RFI signals are, in general, detectable from a spectral difference method and a principal component analysis (PCA) method. In particular, the PCA method is applied to derive RFI signals from natural radiations by using the characteristics of natural radiation measurements having all-channel correlations. In the area where data have a higher projection onto the first principle component (PC) mode, RFI is, in general, present. However, both the spectral and PCA methods cannot detect RFI reliably over frozen grounds and scattering surfaces, where the brightness temperature difference between 10.65 and 18.7 GHz is large. Thus, detection is improved through the use of normalized PCA. The new RFI detection algorithm is now working reliably for MWRI applications. It is found that RFI at 10.65 GHz distributes widely over Europe and Japan, and is less popular over the United States and China.
Keywords :
geophysical equipment; geophysical techniques; remote sensing; China; Europe; FY-3B MWRI; FengYun satellite; Japan; MWRI applications; PCA method; RFI detection algorithm; RFI signals; United States; brightness temperature; dual channels; frequency 10.65 GHz; frequency 18.7 GHz; frequency 23.8 GHz; frequency 36.5 GHz; frequency 89.0 GHz; horizontal polarization state; microwave radiation imager; natural radiation measurements; principal component analysis; radio-frequency interference signal; spectral difference method; vertical polarization state; Brightness temperature; Calibration; Microwave radiometry; Principal component analysis; Radiofrequency interference; Satellites; Snow; MicroWave Radiation Imager (MWRI); Microwave remote sensing; radio-frequency interference (RFI);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2012.2191792
Filename :
6195007
Link To Document :
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