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  • 标题:Fusion and Perceptual Organisation of Features from Multi-sensor Data: General Concepts and New Developments
  • 本地全文:下载
  • 作者:J. Schiewe
  • 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:2004
  • 卷号:XXXV Part B4
  • 页码:605-610
  • 出版社:Copernicus Publications
  • 摘要:While the available, eventually multi-source data from remote sensing systems yield the advantage of producing more features, the crucial point in the scene interpretation workflow is still the big, application dependent gap between these features and the related object characteristics. The necessary bridging process of perceptual organisation as well as the fusion of features have been neglected too much in the past. In this contribution we will present our methodological developments concentrating on the perceptual organisation of features that have been derived from multi-sensor data aiming at the extraction and classification of topographic surface edges. The algorithm we are proposing consists of a segmentation and classification of the raster-based elevation and image data, transforming the resulting polygon outlines into vector format and performing some post-processing steps (dilation, smoothing)
  • 关键词:fusion; interpretation; recognition; feature; laser scanning; multi-sensor
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