基于广义RI指数的微波观测资料干扰识别方法

基于AMSR2(the Advanced Microwave Scanning Radiometer 2)一级亮温数据,提出了广义RI指数(Radio Frequency Interference Index)识别方法来检测无积雪覆盖陆地和洋面区域AMSR2 7.3 GHz通道受RFI(Radio Frequency Interference)影响的观测数据,进而用主成分分析法以及谱差法的检测结果进行验证,并分析了三种方法检测结果间的差异.结果表明:广义RI指数识别方法的检测出的RFI和其他两种方法的检测结果基本一致,这表明新算法对识别陆地和洋面上的RFI是有效的.但这三种检测方法的区别是,主成分分析法识别的RFI信号比其他两种方法确定的范围小、数量少,谱差法次之,广义RI指数检测方法检测出的RFI信号最多.本研究为评估不同识别算法提供了参考,还为进行卫星遥感技术微波频段保护提供了理论依据.

Microwave radio-frequency interference detection method based on the generalized RI index

Based on the AMSR2(the Advanced Microwave Scanning Radiometer 2)L1 brightness temperature data,a generalized RI index identification method is proposed to detect the observation data of the AMSR27.3 GHz channels affected by RFI(Radio Frequency Interference)over snow-free land and ocean.And then the results are evaluated using the RFI signals detected by Principal Component Analysis(PCA)method and the spectral difference method.Furthermore,the differences of the detected results using the three methods are analyzed.The results show that the detected results using the generalized RI index identification method is consistent with those using the other two methods,which indicates that the new algorithm is effective for identifying RFI on snow-free land and ocean.The difference is that among the three detection methods,the areas where RFI signal identified by the PCA method is smaller than the other two methods,and the spectral difference method is second.The RFI signals detected by the generalized RI index detection method are the most.This study provides a reference for evaluating different recognition algorithms,and provides a theoretical basis for satellite remote sensing technology microwave band protection.