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  • 标题:Experimental Approach for Urban Structure Identification Using Remotely Sensed Imagery
  • 本地全文:下载
  • 作者:Mitsunori Yoshimura
  • 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:1992
  • 卷号:XXIX Part B7
  • 页码:926-929
  • 出版社:Copernicus Publications
  • 摘要:The multispectral classification is the most common method for the featuredetection from remotely sensed imagery. The results of its extraction method isprovided as an area with relative location. For the detection of absolute location,this multispectral classification approach is not sui table. However, theabsolute location of ground target is important for the urban structure monitoring.From the mentioned background, this paper describes on the relationshipbetween ground resolution and capabili ty of target identification and is thealgorithm for an urban structure identification applying the binary image processingmethod.
  • 关键词:Feature Detection; Absolute Location; Target Identification;Urban Structure
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