Remote Sensing Image Segmentation Based on Hierarchy Density Analysis
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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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