摘要
月球表面的微波辐射亮度温度分布与月表物质的物理化学和地理分布特性密切相关。为了分析月球表面微波辐射亮温的分布特点,利用支持向量机(SVM)方法对嫦娥一号(CE-1)绕月卫星搭载的微波辐射计获得的2C级亮温数据建立回归分析模型,并利用粒子群算法优化SVM回归模型,建立了月球表面不同地理位置的4个频率通道(3GHz,7.8GHz,19.35GHz,37GHz)的微波辐射亮温与时间的关系,获得了这4个频率的微波辐射亮温在月表很窄时间段的全球分布,因而显示出了更多的细节特征。最后对这些特征进行了描述并对影响月球表面亮温的因素进行了讨论。
The microwave radiation brightness temperature is closely related to the physical,chemical and geographical distribution characteristics of the materials on the Lunar surface.The distribution characteristics of the Lunar surface microwave radiation brightness temperature are investigated by using the method of Support Vector Machine（SVM）.A support vector regression model is set up to analyze the 2C level brightness temperature data acquired by the microwave radiometer for the CE-1 Lunar satellite.Then,this model is further optimized by using the particle swarm optimization algorithm.Thus,the relationship between the Lunar time and the microwave radiation brightness temperature of four frequency channels（3GHz,7.8GHz,19.35GHz,37GHz） at different locations is established.The distribution of microwave radiation brightness temperature on full Lunar surface from four frequency channels in narrow period of a lunar day is obtained.More specific features on the Lunar surface distribution of the microwave radiation brightness temperature are unveiled and described in detail.Finally,physical factors influencing the brightness temperature on the Lunar surface are systematically discussed.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2011年第5期1148-1155,共8页
Journal of Astronautics
关键词
亮度温度
支持向量机
粒子群
微波辐射计
CE-1
Brightness temperature
SVM
Particle swarm optimization
Microwave radiometer
CE-1
