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bundle block adjustment with 3d natural cubic splines

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CHAPTER 6CONCLUSIONS AND FUTURE WORKIn this paper, the traditional least squares of a <strong>bundle</strong> <strong>block</strong> <strong>adjustment</strong> processhave been augmented to support <strong>splines</strong> instead of conventional point features. Estimationof EOPs and spline parameters including location parameters is establishedby the relationship between <strong>splines</strong> in the object space and their projection in theimage space <strong>with</strong>out the knowledge of the point-to-point correspondence. Since <strong>bundle</strong><strong>block</strong> <strong>adjustment</strong> using <strong>splines</strong> does not require conjugate points generated bythe knowledge of the point-to-point correspondence, the more robust and flexiblematching algorithm can be adopted. Point-based aerial triangulation <strong>with</strong> experiencedhuman operators is processed well in traditional photogrammetric activitiesbut not the autonomous environment of digital photogrammetry. Feature-based aerialtriangulation is more suitable to develop the robust and accurate techniques forautomation. If linear features are employed as control features, they provide advantagesover point features for the automation of aerial triangulation. Point-based aerialtriangulation based on the manual measurement and identification of conjugate pointsis less reliable than feature-based aerial triangulation since it has the limitations ofvisibility(occlusion), ambiguity(repetitive patterns) and semantic information in viewof robust and suitable automation. Automation of aerial triangulation and the pose96

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