Optimization processing method for brightness temperature data of two-dimensional synthetic aperture microwave radiometer

Abstract

The invention discloses an optimization processing method for brightness temperature data of a two-dimensional synthetic aperture microwave radiometer, wherein the method comprises the following steps: step 1, respectively obtaining H polarization brightness temperature data and V polarization brightness temperature data of an SMOS according to the brightness temperature data of the SMOS; meanwhile, obtaining SMAP brightness temperature data matched with the SMOS in time and space according to the SMAP brightness temperature data; and step 2, carrying out first nonlinear fitting and second nonlinear fitting according to the brightness temperature data obtained in the step 1, and then completing optimization processing according to translation transformation; or, carrying out the first nonlinear fitting according to the brightness temperature data obtained in the step 1, and completing the optimization processing according to the fixed-point regression fitting. According to the invention, the optimized multi-angle brightness temperature can be obtained, information waste is not caused, and high consistency with the brightness temperature of the SMAP can be maintained. According to the method, the loss of the optimized brightness temperature is less, and the space coverage degree of the SMOS data is greatly improved.

Description

Technical field [0001] The invention relates to the technical field of data processing, in particular to an optimized processing method for brightness temperature data of a two-dimensional synthetic aperture microwave radiometer. Background technique [0002] Microwave remote sensing of cloud, rain and fog has little effect, and has the advantages of working all-weather and all-day; at the same time, the penetration ability of microwave can obtain information of a certain depth on the surface. These advantages make it widely used in hydrology, atmosphere, agriculture and other fields. The signal obtained by microwave remote sensing on the ground is processed into the microwave radiance temperature (brightness temperature, TB). On this basis, the ground surface parameter can be inverted, such as soil moisture inversion, and used in downstream applications. [0003] The working mode of microwave remote sensing is divided into active (active) microwave remote sensing and passive (pas...

AI Technical Summary

Problems solved by technology

Although this method can obtain brightness temperature observations at a fixed angle, the results are relatively discrete.

Moreover, the brightness temperature from multiple angles still does not meet the theoretical expectations, for example, the brightness temperature of the H polarization may be higher than the brightness temperature of the V polarization, etc.

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