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  • 标题:ENDMEMBER EXTRACTION FOR HYPERSPECTRAL IMAGES USING WATERSHED AND NORMALIZED CUTS
  • 本地全文:下载
  • 作者:H. Xu ; B. Tian ; F. Liu
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2011
  • 卷号:XXXVIII - 4/W19
  • 页码:365-368
  • DOI:10.5194/isprsarchives-XXXVIII-4-W19-365-2011
  • 出版社:Copernicus Publications
  • 摘要:Endmember extraction integrated with spatial information has been concerned on some research recently. In this paper we studies an improved endmember extraction method with spatial preprocessing module which use watershed with normalized cuts to avoid over- segmentation and produce accurate results from spectral mixture analysis. The spatial-spectral endmember extraction method which used the advantages of image segmentation generates the preliminary results and provides important knowledge for future research
  • 关键词:remote sensing images segmentation; watershed transform; normalized cut; endmember extraction; spatial-spectral; hyperspectral data
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