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  • 标题:CCSSM: A Toolkit for Information Extraction from Remotely Sensed Imagery
  • 本地全文:下载
  • 作者:Yong Ge ; Chi Zhang ; Hexiang Bai
  • 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:2010
  • 卷号:XXXVIII - Part 2
  • 页码:379-382
  • 出版社:Copernicus Publications
  • 摘要:This paper presents a method named CCSSM (Classification of Combining Spectral information and Spatial information upon Multiple-point statistics) which is the derivation of two probability fields from the supervised classification for the spectral extraction and multiple-point simulation (MPS) for the spatial information, which then are fused. The performance of CCSSM for two-class classification has been discussed in our previous research works. This paper mainly introduces the software toolkit of CCSSM. A multiple-class classification using CCSSM is then given
  • 关键词:Information Extraction; Spatial Information; Spectral Information; Multiple-point Simulation
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