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中国风云3号B星(FY-3B)上的微波成像仪MWRI通过5个频率(10.65 GHz,18.7 GHz,23.8 GHz,36.5 GHz和89.0 GHz)的双极化通道对地球表面进行监测。研究表明,MWRI资料的低频波段数据中存在着无线电频率干扰(RFI)现象,这些污染信号对遥感数据和反演产品质量产生极大的影响。本文尝试使用多通道回归方法和双主成分分析(DPCA)方法识别MWRI的10.65 GHz水平通道亮温海洋区域中的RFI信号。结果表明,双主成分分析法可以有效地识别出海洋上的RFI信号。微波成像仪10.65 GHz水平通道亮温数据中的RFI信号主要分布在地中海等欧洲附近海域,也存在于美国、日本、澳大利亚等近岸地区。
The microwave imager MWRI on B-Star FY-3B (FY-3B) monitors the Earth’s surface with dual polarization channels of 5 frequencies (10.65 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz and 89.0 GHz). Research shows that radio frequency interference (RFI) exists in the low frequency bands of MWRI data, and these pollution signals have a great impact on the quality of remote sensing data and the quality of the inversion products. This article attempts to use the multi-channel regression method and the dual principal component analysis (DPCA) method to identify the MWRI’s 10.65 GHz horizontal channel RFI signals in the bright-warm ocean region. The results show that the dual principal component analysis method can effectively identify the oceanic RFI signal. The RFI signals of microwave imager 10.65 GHz horizontal channel brightness temperature data are mainly distributed in the sea areas near Europe such as the Mediterranean Sea and also in the nearshore areas such as the United States, Japan and Australia.