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基于数据场聚类的遥感影像分类方法研究
引用本文:陶建斌,舒宁,沈照庆. 基于数据场聚类的遥感影像分类方法研究[J]. 国土资源遥感, 2008, 19(3): 20-23
作者姓名:陶建斌  舒宁  沈照庆
作者单位:武汉大学遥感信息工程学院,武汉,430079
基金项目:国家重点基础研究发展计划(973计划)
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。

关 键 词:数据场  聚类  遥感影像  分类
收稿时间:2008-01-07
修稿时间:2008-04-07

A STUDY OF THE METHOD FOR CLSSIFICATION OF REMOTE SENSING IMAGES BASED ON DATA FIELD CLUSTER
TAO Jian-Bin,SHU Ning,SHEN Zhao-qing. A STUDY OF THE METHOD FOR CLSSIFICATION OF REMOTE SENSING IMAGES BASED ON DATA FIELD CLUSTER[J]. Remote Sensing for Land & Resources, 2008, 19(3): 20-23
Authors:TAO Jian-Bin  SHU Ning  SHEN Zhao-qing
Affiliation:School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Abstract: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.
Keywords:Data field  Cluster  Remote sensing image  Classification
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