LEAST SQUARES COLLOCATION IN PHOTOGRAMMETRY

Generalized least squares, often called collocation, has been applied to the resection and transformation problems of photogrammetry. It has been shown that, in the contrast to the least squares theory, the results of the adjustment can be improved by use of the proper covariance function for correlated observations. The generalized least squares theory is capable of extracting both the signal and the noise portions of the observations whereas the classical least squares deals only with the random (noise) portion.

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  • Corporate Authors:

    American Society of Photogrammetry

    105 North Virginia Avenue
    Falls Church, VA  USA  22046
  • Authors:
    • Rampal, K K
  • Publication Date: 1976-5

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Filing Info

  • Accession Number: 00139263
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 16 1976 12:00AM