大气科学学报2011，Vol.34Issue(5)：583-591,9.
基于支持向量机的CloudSat卫星云分类算法
Cloud type classification algorithm for CloudSat satellite based on Support Vector Machine
摘要
Abstract
According to the role-based cloud classification method,a SVM（Support Vector Machine） model is established to achieve cloud type classification by extracting characteristic parameters of spaceborne millimeter-wave radar sounding data.By comparing with the classification results using BP（back propagation） network model,it is found that both two models have good classification capability,but the SVM model has better identification accuracy and faster calculation speed.An example of cloud type classification based on CloudSat data shows that the results of SVM model are well consistent with products published by CloudSat DPC（Data Processing Center） .关键词
支持向量机/BP网络/云分类/毫米波/CloudSatKey words
Support Vector Machine/BP network/cloud classification/millimeter wave/CloudSat分类
信息技术与安全科学引用本文复制引用
韩丁,严卫,任建奇,赵现斌..基于支持向量机的CloudSat卫星云分类算法[J].大气科学学报,2011,34(5):583-591,9.基金项目
国家自然科学基金资助项目 （）
