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  • 标题:Combining High Resolution Satellite Imagery and Airborne Laser Scanning Data for Generating bareland DEM in Urban Areas
  • 本地全文:下载
  • 作者:Guo Tao ; Yoshifumi Yasuoka
  • 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-5/W3
  • 出版社:Copernicus Publications
  • 摘要:This paper proposes a framework for generating bare-land Digital Elevation Model (DEM) in urban areas by combining high- resolution satellite imagery and Airborne Laser Scanning (ALS) data. Airborne laser scanners offer an efficient approach for 3D data acquisition. ALS data provides very accurate position and height information, but less direct information on ground objects' geometrical shape, meanwhile high-resolution satellite imagery such as IKONOS offers very detailed information on objects, such as spectral signature, texture, shape etc. Combining these two kinds complementary dataset is quite promising for the research of ground object recognition, e.g. building extraction, 3D city modeling etc. This paper presents the concept and procedures of the approach based on above idea, and also shows some experimental results
  • 关键词:Airborne Laser Scanning; IKONOS; Normalized Difference Vegetation Index; Digital Elevation Model
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