龚龑, 舒宁. 基于层次密度分析的遥感影像分割方法[J]. 武汉大学学报 ( 信息科学版), 2008, 33(3): 310-313.
引用本文: 龚龑, 舒宁. 基于层次密度分析的遥感影像分割方法[J]. 武汉大学学报 ( 信息科学版), 2008, 33(3): 310-313.
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GONG Yan, SHU Ning. Remote Sensing Image Segmentation Based on Hierarchy Density Analysis[J]. Geomatics and Information Science of Wuhan University, 2008, 33(3): 310-313.
Citation: GONG Yan, SHU Ning. Remote Sensing Image Segmentation Based on Hierarchy Density Analysis[J]. Geomatics and Information Science of Wuhan University, 2008, 33(3): 310-313.
shu

基于层次密度分析的遥感影像分割方法

Remote Sensing Image Segmentation Based on Hierarchy Density Analysis

    摘要
  • 摘要: 传统的全局性密度分析指标往往无法适应局部集群分布特征,提出一种新的层次密度分析方法,达到自适应遥感影像分割的目的,取得了较好效果。

     

    Abstract: A measure of density analysis to segmente remote sensing image is presented.Operated against the complexity of remote sensing image spectral space,the new algorithm of HDA(hierarchy density analysis) take a two-step strategy to analyse the feature-space in order to get self-adaptive segmentation,which including grid clustering,parameter estimating and neighbour density analysizing.

     

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