一种用于海底类型聚类的新方法

• 作 者: 赵建虎 张红梅 马飞虎 李娟娟
• 机 构: School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China
• 出 处: 地球空间信息科学学报（英文版）
• 发表日期: 2008年4期
• 关键词: sonar image self-organizing feature maps (SOFM) clustering of seabed types

By using sonar imaging,this paper presents a new algorithm for the clustering of seabed types based on theself-organizing feature maps (SOFM) neural network.The theory as well as data processing is studied in detail.Some valuable conclusions and suggestions are given.