Accuracy improvement of urban true orthoimage generation using 3D R-tree-based urban model

ABSTRACT

When applying the existing TRUE orthorectification methods to orthorectify urban high buildings, there exist many problems such as incomplete orthorectification of boundaries of artificial buildings, edge blurring and distortion; incomplete orthorectification to small buildings in building roofs, and/or balcony due to the lack of proper 3D model representation. This paper presents a novel orthorectification method that is based on 3D R-tree CSG urban building model. This method can exactly solve the problem mentioned above and improve the accuracy of true orthoimage. A test field located in downtown of Denver, Colorado has been used to test our methods. The experimental results demonstrated that the proposed method in this paper can effectively improve the accuracy of urban buildings with 3-5 pixels, especially for the boundaries of building, and some small buildings can completely orthorectified.

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Spatial databases and GIS

Additional Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.3 Applications
      I.6.5 Model Development
          Subjects: Modeling methodologies

General Terms:
Design, Management

Keywords:
3D R-tree, CSG, DBM, orthorectification, true orthoimage