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  • 标题:Semi-Automatic Object Extraction – Lessons Learned
  • 本地全文:下载
  • 作者:E. Gülch ; H. Müller ; M. Hahn
  • 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 B2
  • 页码:423-427
  • 出版社:Copernicus Publications
  • 摘要:This paper summarizes experiences and views gained through development and application of semi-automatic object extraction and gives recommendations for further developments. The last decade has seen a lot of research efforts in the field of object extraction from aerial imagery and digital surface models from airborne laser scanning. Despite these tremendous efforts, very few approaches are commercially available and used in practice. There are probably many reasons for this. Amongst others we can find: economic crisis of many states and cities and a general decrease in photogrammetric applications in many countries, which are both external factors and hardly can be changed, but which increase the need to look for new markets. On the other hand, we can observe internal problems as well: too high expectations which are not fulfilled, quickly changing focus in developments on automated feature extraction modules for real world applications, lack of standards, few empirical comparisons etc. In this respect there is a need to bundle expertise and resources and ISPRS and EuroSDR (European Spatial Data Research, formerly OEEPE) are two organizations, that are capable of providing the necessary platform to give a new push to research and development in reliable automated feature extraction
  • 关键词:Automation; Extraction; GIS; Imagery; Object; GML; High resolution
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