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利用影像变化检测更新空间数据库的方法综述 被引量:3

Approaches to Data Revision Using Images Change Detection
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摘要 在回顾前人运用数字图像处理技术从遥感图像中提取空间变化特征经典算法的基础上,总结出基于特征的、基于图层的和基于像素的三种方式提取影像特征的方法。实验结果表明该方法适用于轮廓较明显的目标,同时具有速度快、精度高、稳定性强的优点。 With many high quality images and new models coming forth, remote sensing technology has made quite great progress in the past 40 years, having abroad applications in the field of geography. There have been many case studies in extracting cartographical features from images with digital image technology. This paper summarizes three approaches, feature-based, region-based and pixel-based, after reviewing classical algorithms. The experimental results indicate that the proposed algorithm is efficient, precise, and robust.
出处 《地理空间信息》 2008年第2期43-45,共3页 Geospatial Information
基金 国家自然科学基金资助项目(40501058)
关键词 遥感影像 图像处理 数据库 数据更新 remote sensing image image processing database data revision
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参考文献5

  • 1[1]Bianchin A,Bravin L.Extracting Roads from Ikonos Images//21st International Cartographic Conference 2003[C].Beijing:International Cartographic Association.2003.1200-1209
  • 2齐小玲,吴健平.多源遥感影像融合及其关键技术探讨[J].现代测绘,2003,26(3):20-22. 被引量:11
  • 3[3]Armenakis.A comparative Analysis of Scanned Maps and Iimagery for Mapping Applications[J].ISPRS Journal of Photogrammetry and Remote Sensing,2003,57(5-6):304-314
  • 4[4]Lampropoulos G A,Lia T,Armenakis C.A Robust Change Detection Methodology for Topographical Applications[J].Proceedings International Archives of Photogrammetry,Remote Sensing and Spatial Information Sciences,2004,35(B):611-616
  • 5[5]Singh A.Digital Change Detection Techniques Using Remotely-Sensed Data[J].Journal of Remote Sensing,1989,10(6):989-1003

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