Reduction of the Systematic Error in Synthetic Aperture Microwave Radiometer for Ocean Remote Sensing

Passive microwave remote sensing is an important means of ocean remote sensing, which can measure some important ocean parameters such as sea surface salinity and sea surface wind vector. Synthetic aperture microwave radiometer is a research hotspot in the field of passive microwave remote sensing. However, since synthetic aperture radiometer can only cover the limited bandwidth at the spatial frequency and cannot obtain the high frequency components of the observed target, there is still inherent system error even though there is no error of G matrix and radiometric noise. Aiming at the inherent system error, a reduction method of the systematic error is proposed for Full Polarization Interferometric Radiometer. The simulation results show that the proposed method can effectively reduce the systematic error in FPIR system and obtain high accurate data of brightness temperature in order to meet application requirements of measuring sea surface salinity, sea surface wind vectors and so on.