Aerosol Retrieval from Remote Sensing Image Using Artificial Neural Network

摘要：

The usual method of aerosol retrieval using remote sensing is interpolation of look-up-table (LUT), but it is too time-consuming. However, artificial neural network for nonlinear problem has been not applied widely for aerosol retrieval before. In this paper, aerosol optical depth (AOD) is retrieved using two methods: interpolation and neural network. Then, the retrieval capabilities of the two methods were compared. By comparison, not only is the retrieval error of the neural network within acceptable range, but also it can reduce much processing time.

关键词： aerosol optical depth remote sensing look-uptables artificial neural network interpolation

作者: Houmao Wang Jiakui Tang

作者单位: Yantai Institute of Coastal Zone Research Chinese Academy of Sciences Yantai, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 551-555

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）