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  • 标题:Investigation of Geometric Constraints for Matching High Resolution Satellite Images
  • 本地全文:下载
  • 作者:P.M. Dare
  • 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 B3
  • 页码:100-105
  • 出版社:Copernicus Publications
  • 摘要:The creation of digital surface models from stereo imagery is a well-understood procedure that is central to digital photogrammetric processing. Recently, however, attention has focused on the creation of surface models from high resolution satellite imagery, which is not quite so straightforward due to the specific attributes of spaceborne imaging systems, and the fact that some data suppliers do not release details of the sensor and camera models. This paper describes a matching procedure for creating digital surface models (DSMs) from stereo imagery acquired by the high resolution Ikonos satellite. Central to this matching procedure are the geometric constraints that are commonly used to reduce the search space and hence constrain the matching solution. Results are presented of the use of two different geometric constraints (one image space constraint, and one object space constraint) applied to two very different Ikonos stereopairs. A range of digital surface models were created, which, when compared to reference data, showed height differences of less than a few metres. Furthermore, visual evaluation of the resulting surface models showed that both geometric constraints yielded a good representation of the true surface
  • 关键词:Ikonos; DEM/DTM; Matching; High resolution; Satellite imagery
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