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  • 标题:Analysis of Segmentation Parameters in Ecognition Software Using High Resolution Quickbird MS Imagery
  • 本地全文:下载
  • 作者:S. Karakis ; A. M. Marangoz ; G. Buyuksalih
  • 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:2006
  • 卷号:XXXVI-1/W41
  • 出版社:Copernicus Publications
  • 摘要:For object- oriented classification approaches, main step is the segmentation part of the imagery. In eCognition v.4.0.6 software, with the segmentation process, meaningful objects can be created for following steps. In the experimental imagery with 2.4m ground sampling distance (GSD) has been used and several different parameters e.g. scale, color/shape and smoothness/compactness parameters have been tested accordingly. Additionally, segmentation parameters were set to low and high values and thus, dissimilarity of segmentation results were examined.
  • 关键词:eCognition; object-oriented image analysis software; multiresolution segmentation; segmentation parameters; ; QuickBird MS
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