Research of BP Neural Network for Microwave Radiometer Remote Sensing Retrieval of Temperature,Relative Humidity,Cloud Liquid Water Profiles
Feng Li · Gaoyuan qixiang · 2010
It is discussed that the method of remote sensing retrieval of temperature,relative humidity and cloud liquid water profiles from 12-channel ground-based microwave radiometer by BP neural network,which is on the basis of sounding data,training the neural network with atmospheric profiles in four seasons,testing and analizing the accuracy of the network.Finally,the results of retrieval with southern suburb of Beijing of 12-channel microwave radiometer data show that: With only a few training cases,the retrieval method BPNN referred in this article is more realistic than that of the microwave radiometer.