摘要
将数据场聚类方法引入到遥感影像分类中,将数据集映射到光谱空间,让光谱点对聚类的贡献通过势能充分表现出来。通过特征空间的建立、势能的计算及势能图像的分割等步骤实现了对遥感影像的分类,并讨论了辐射因子及辐射半径等对聚类的影响。
The data field cluster method was used to map the dataset in the spectral space and fully reflect the contribution of the spectral point to the cluster through potential. The classification of remote sensing images was conducted by such means as the construction of feature space, calculation of potential and segmentation of gradient images. The influence of radiation factors and radiation radii on the cluster is also discussed in this paper.
出处
《国土资源遥感》
CSCD
2008年第3期20-23,26,共5页
Remote Sensing for Land & Resources
基金
国家重点基础研究发展计划"对地观测数据-空间信息-地学知识的转化机理"(973项目)的资助(项目编号:2006CB701303)
关键词
数据场
聚类
遥感影像
分类
Data field
Cluster
Remote sensing image
Classification
