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Geometric Processing Models For Remotely Sensed Imagery And Their Accuracy Assessment

  • Xiuxiao Yuan
Chapter

Abstract

For a long time, geometrical positioning through frame perspective images has been a key research issue in the field of photogrammetry and remote sensing. During the era of analogue photogrammetry, frame perspective cameras are the only means to acquire remote sensing images whether in aerial photogrammetry or in space photogrammetry, which have provided large amount of high quality images for photogrammetric applications (Li and Zheng 1992). For aerial or satellite imagery which meet the requirements for overlapping, the aerial triangular network can be reconstructed after retrieving the relative orientation parameters of the image pair. Then the object space coordinates can be calculated by implementing a bundle block adjustment. This mature technology can achieve centimeter-level accuracy and realize the goal of high-precision remote sensing georeferencing.

Keywords

Precise Point Position Object Point Bundle Adjustment Ground Sampling Distance Orientation Element 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Xiuxiao Yuan
    • 1
  1. 1.School of Remote Sensing and Information EngineeringWuhan UniversityWuhanP.R. China

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