Optimal Processing Method for Brightness Temperature Data of 2-D Synthetic Aperture Microwave Radiometer

Abstract

The invention discloses a method for optimizing the brightness temperature data of a two-dimensional synthetic aperture microwave radiometer, which comprises the following steps: step 1, according to the SMOS brightness temperature data, obtain the H polarization brightness temperature data and the V polarization brightness temperature data of the SMOS respectively data; at the same time, according to the SMAP brightness temperature data, obtain the SMAP brightness temperature data that matches the SMOS in time and space; Step 2, perform the first nonlinear fitting and the second nonlinear fitting based on the brightness temperature data obtained in Step 1 Fitting, and then complete the optimization processing according to the translation transformation; or, perform the first nonlinear fitting according to the brightness temperature data obtained in step 1, and then complete the optimization processing according to the fixed-point regression fitting. The present invention can obtain optimized multi-angle brightness temperature without causing waste of information, and can maintain high consistency with the brightness temperature of SMAP. The optimized brightness temperature of the present invention is less missing, which greatly improves the spatial coverage of SMOS data.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an optimization processing method for brightness temperature data of a two-dimensional synthetic aperture microwave radiometer. Background technique [0002] Microwave remote sensing is less affected by clouds, rain and fog, and has the advantage of all-weather and all-day work; at the same time, the penetration ability of microwaves can obtain information at a certain depth on the surface. These advantages make it widely used in hydrology, atmosphere, agriculture and other fields. The signal obtained from the ground observation by microwave remote sensing is processed into microwave radiation brightness temperature (brightness temperature, TB). [0003] The working mode of microwave remote sensing is divided into active (active) microwave remote sensing and passive (passive) microwave remote sensing. The former emits microwave beams from sensors and then receives echoe...

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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