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  • 标题:Information-theoretic Perspectives of Image-based Categorical Mapping
  • 本地全文:下载
  • 作者:Zongjian Lin ; Yan Chen ; Jingxiong Zhang
  • 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:2008
  • 卷号:XXXVII Part B2
  • 页码:885-890
  • 出版社:Copernicus Publications
  • 摘要:This paper discusses quantitative evaluation of information in remote sensing and GIS data. The formula for calculating information contents of remote sensing imagery are developed, taking into account of signal-noise-ratio (SNR), inter-pixel and cross-band correlations, while information amounts in GIS data are calculated by referring to geometric position, attributes, and the equivocation in both. Tests were carried out to compute and analyze information contents in remote sensing imagery and area-class maps produced by four different methods. It was found that amounts of information in resultant area-class maps are consistent with classifiers' performances, and are decreased in comparison with the source imagery. Further research will be directed towards the relationships between information contents and uncertainty
  • 关键词:Measures of Information; Remote Sensing Imagery; Area-class Maps; Uncertainty; Correlation; Equivocation
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