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  • 标题:CHANGE DETECTION METHODS FOR THE REVISION OF TOPOGRAPHIC DATABASES
  • 本地全文:下载
  • 作者:Costas Armenakis ; Isabelle Cyr ; Evangelia Papanikolaou
  • 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:2002
  • 卷号:XXXIV Part 4
  • 出版社:Copernicus Publications
  • 摘要:Database updating and maintenance is becoming a demanding operation in national mapping organisations. Major tasks are the change detection and extraction and its integration in the existing data sets. Change detection is performed between a number of data sets involved in topographic applications. The implementation of more automation coupled with the availability of heterogeneous data requires the investigation, adaptation and evaluation of new approaches and techniques. The demand for rapid mapping operations is continuously increasing. Prior to change detection, extraction of homogeneous features from both the multi-temporal datasets is necessary. Thresholding and texture measures were used to evaluate the potential of rapid extraction of topographic elements from scanned monochrome maps, while the extraction of features from satellite imagery involved initially image and theme enhancement by applying various image fusion and spectral transformations, followed by image classification and thresholding. Interactive and semi-automated change detection methods are proposed and implemented based on non-intersection of old and new features and the generation of buffer zones. These were used for the determination of planimetric changes. The various approaches and methodology developed and implemented along with examples, initial results and limitations are presented and discussed. The tests showed that the approaches were more or less feature/theme dependent, while at the same time they can augment and significantly enhance the conventional topographic methods
  • 关键词:Change detection; feature extraction; revision; Landsat 7 ETM+; raster maps
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