On gradient methods for maximum entropy regularizing retrieval of atmospheric aerosol particle size distribution function
作者单位：Institute of Photogrammetry and Remote Sensing(I.P.F.)Vienna University of Technology(TU Wien)Gusshausstrasse 27-291040 ViennaAustria.
会议名称：《中国科学院地质与地球物理研究所2008学术年会》
会议日期：2009年
学科分类：07[理学] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学]
摘 要：The determination of the aerosol particle size distribution function using the particle spectrum extinction equation is an illposed integral equation of the first kind,since as is known,we are often faced with limited or insufficient observations in remote sensing and the observations are ***,the particle size distribution is always nonnegative,and we are often faced with incomplete ***,the concept of maximum entropy from information theory and statistic mechanics can be used to counteract this problem of missing or erroneous ***,in this paper,we study the maximum entropy based regularization model and gradient methods for solving the corresponding optimization problem. Numerical tests are made for synthetic aerosol data to show the efficiency and feasibility of the proposed algorithms.