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  • 标题:Image Re-Segmentation Applied to Urban Imagery
  • 本地全文:下载
  • 作者:Thales S. Korting ; Leila M. Fonseca ; Luciano V. Dutra
  • 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 B3b
  • 页码:393-398
  • 出版社:Copernicus Publications
  • 摘要:This article presents a new approach for image segmentation applied to urban imagery. Re-segmentation is so called because it uses a previous over-segmented image as input to generate a new set of objects more adequate to the application of interest. Concerning urban objects such as roofs, building and roads, the algorithm tries to generate rectangular objects by merging operations in a weighted Region Adjacency Graph. Objects whose union generate larger regular objects are merged, otherwise remain unmerged for further analysis. To verify the potential of the method, two experimental results using Quickbird images are presented
  • 关键词:Image interpretation; Segmentation; Computer Vision; Feature detection; Machine vision
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