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A passive and multi-channel microwave sounder onboard Chang'E-2 orbiter hassuccessfully performed microwave observation of the lunar surface andsubsurface structure. Compared with Chang'E-1 orbiter, Chang'E-2 orbiterobtained more accurate and comprehensive microwave brightness temperature datawhich is helpful for further research. Since there is a close relationshipbetween microwave brightness temperature data and some related properties ofthe lunar regolith, such as the thickness, temperature and dielectric constant,so precise and high resolution brightness temperature is necessary for suchresearch. However, through the detection mechanism of the microwave sounder,the brightness temperature data acquired from the microwave sounder is weightedby the antenna radiation pattern, so the data is the convolution of the antennaradiation pattern and the lunar brightness temperature. In order to obtain thereal lunar brightness temperature, a deconvolution method is needed. The aim ofthis paper is to solve the problem in performing deconvolution of the lunarbrightness temperature. In this study, we introduce the maximum entropymethod(MEM) to process the brightness temperature data and achieve excellentresults. The paper mainly includes the following aspects: firstly, we introducethe principle of the MEM, secondly, through a series of simulations, the MEMhas been verified an efficient deconvolution method, thirdly, the MEM is usedto process the Chang'E-2 microwave data and the results are significant.

The Deconvolution of Lunar Brightness Temperature based on Maximum Entropy Method using Chang'E-2 Microwave Data