Geolocalizing SMOS RFI sources on the densely populated East Asia

机译：在人口稠密的东亚对SMOS RFI源进行地理定位

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In the SMOS measurements, the negative effect of Radio-Frequency Interference (RFI) is clearly present, deteriorating the Brightness Temperature (BT) images. RFI sources have to be monitored and accurately geolocated in order to improve the quality of geophysical parameter retrieval from the SMOS BT image, and eventually develop algorithm to cancel them. This paper present a case study of SMOS RFI source detection and geolocation based on MUSIC (MUltiple SIgnal Classification) algorithm. Thanks to the high angular/spatial resolution of MUSIC algorithm, the RFI sources densely populated in East Asia can be separately geolocated, which is difficult using SMOS standard brightness temperature images.

机译：在SMOS测量中，明显存在射频干扰（RFI）的负面影响，使亮度温度（BT）图像变差。必须监视RFI源并将其精确定位，以提高从SMOS BT图像检索地球物理参数的质量，并最终开发消除它们的算法。本文以MUSIC（多信号分类）算法为例，对SMOS RFI源的检测与地理位置进行了研究。由于MUSIC算法具有较高的角度/空间分辨率，因此可以对东亚人口稠密的RFI源进行单独地理位置定位，而使用SMOS标准亮度温度图像则很难做到这一点。

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《IEEE International Geoscience and Remote Sensing Symposium》|2015年|1453-1456|共4页
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Hyuk Park; Camps Adriano; Gonzalez-Gambau Veronica;
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geophysical techniques; remote sensing; MUSIC algorithm; MUltiple SIgnal Classification; SMOS BT image; SMOS RFI source detection; SMOS measurements; SMOS standard brightness temperature images; densely populated East Asia; geophysical parameter retrieval quality; radio-frequency interference; Asia; Geology; Microwave radiometry; Multiple signal classification; Remote sensing; Spatial resolution; Yttrium; Direction of Arrival (DOA) estimation; Radio-Frequency Interferences (RFI); Soil Moisture and Ocean Salinity (SMOS) mission; beamforming; microwave radiometry; synthetic aperture radiometry;

机译：地球物理技术遥感MUSIC算法多元信号分类SMOS BT图像SMOS RFI源检测SMOS测量SMOS标准亮度温度图像人口稠密的东亚地区地球物理参数检索质量射频干扰亚洲亚洲地质学微波辐射;多种信号分类;遥感;空间分辨率;钇;到达方向（DOA）估计;无线电频率干扰（RFI）;土壤水分和海洋盐度（SMOS）任务;波束赋形;微波辐射;合成孔径辐射;

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Geolocalizing SMOS RFI sources on the densely populated East Asia

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