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This paper investigates the accuracy potential of object-based least squares matching for the automatic derivation of digital terrain models (DTMs). Some signal-theoretic-based improvements were made for sampling in the object space. Several sampling rates were tested in combination with different amounts of noise. The investigations were carried out for image strips from 3-line cameras. Most results hold for frame images as well. A few procedures were investigated for reducing the computation time and the resulting effect on the accuracy. It is shown that the computation can be accelerated by nearly a factor of 10 without any significant loss of accuracy.
H. Diehl
"Accuracy potential of object-based least-squares matching", Proc. SPIE 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, (1 March 1994); https://doi.org/10.1117/12.169874
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H. Diehl, "Accuracy potential of object-based least-squares matching," Proc. SPIE 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, (1 March 1994); https://doi.org/10.1117/12.169874