Research on Remote Sensing Lithologic Classification Method Based on PSO Algorithm

摘要：

According to the problem that artificial factors can affect classification quality in the process of statistical lithologic classification, a PSO-based lithologic classification method is proposed in this paper. This method introduces spectral similarity scale to build classification rule. Under this rule, each particles dimension is corresponding to a sample state. Through updating the information of particle speed and position, particle is led to move toward an area with classification optimal spectral similarity value, and finally the optimal value is confirmed. Experimental result proves that the classification method is feasible.

关键词： PSO lithology classification spectral similarity value

作者: Wenyu Liu Xiangbin Wu Dongzhuang Hou Lianming Zeng Dong Wang

作者单位: School of Geosciences and Environmental Engineering, Central South University, Changsha 410083 Information and Educational Technology Center, Foshan University, Foshan 52800

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 996-1000

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）