大气和海洋科学快报（英文版）2018，Vol.11Issue(3)：255-261,7.
基于两种识别方法的AMSR-E资料无线电频率干扰信号的交叉验证
Cross validations of radio-frequency interference signature in AMSR-E data using two detection methods
摘要
Abstract
Radio-frequency interference (RFI) detection for low-frequency microwave measurements is an important step before these data are applied to geophysical parameter retrieval or data assimilation.There are several robust techniques to identify the RFI signals,such as the mean/standard deviation method and the normalized principal component analysis method.However,verification of these existing detection methods remains an open issue in the absence of a reliable validation data-set of the ‘true’ RFI signals.In this paper,a cross-validation scheme using two independent RFI detection methods is proposed to derive the thresholds for identifying the RFI-contaminated data for the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E).It is shown that the new scheme is effective in the quantitative classification of the RFI signals in the AMSR-E C-and X-band channels over the continents.Strong RFI signals are found to be populated over cities of the United States at AMSR-E C-band,while RFIs at X-band are mainly observed over Europe and Japan.关键词
无线电频率干扰/阈值/AMSR-EKey words
Radio-frequency interference/classification threshold/AMSR-E引用本文复制引用
ZHAO Juan,YU Xiao-Ding..基于两种识别方法的AMSR-E资料无线电频率干扰信号的交叉验证[J].大气和海洋科学快报（英文版）,2018,11(3):255-261,7.基金项目
This work was jointly supported by the Special Fund for Meteorological Research in the Public Interest of China (Project No.GYHY201406008),and the National Natural Science Foundation of China [grant number 91337218]. （Project No.GYHY201406008）
