报告题目：Joint Algorithm Based on Genetic Algorithm and Newton's Method in the Application of Land Surface Emissivity Retrieval
报告时间：2018年11月13日（周二）上午10：00-11：30
报告地点：尚贤楼812
报告人：官元红
欢迎各位专家老师和同学参与交流！
报告摘要：The aim of this talk is to give an overview of results related to the method of Land Surface Emissivity Retrieval. Making full use of the advantages of an algorithm to make up for disadvantages of another algorithm, We introduce a joint algorithm by combining the genetic algorithm(GA) and the Newton's method. After that, the joint algorithm is applied to the surface emissivity function relationships retrieval. The results show that the objective function decline very fast and is stable very soon, the joint algorithm is superior to the Newton's method and the genetic algorithm, and the simulated brightness temperature is obviously improved .
报告人简介：官元红，博士，南京信息工程大学数学与统计学院副教授，先后访问中国科学院大气物理研究所和美国乔治梅森大学。主要研究兴趣：卫星资料同化和短期气候预测。近年来已主持国家自然科学基金项目1项、气象行业专项子项目3项；参与国家自然科学基金和江苏省自然科学基金项目共3项。近年来已在SCI及核心期刊上发表论文10余篇。
数学与统计学院
2018年11月12日