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.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00991112
• Corporate Authors:

  American Society of Photogrammetry

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

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 659-669
• Serial:
  • Photogrammetric Engineering and Remote Sensing
  • Volume: 42
  • Issue Number: 5
  • Publisher: American Society for Photogrammetry and Remote Sensing
  • ISSN: 0099-1112

Subject/Index Terms

• TRT Terms: Covariance; Error analysis; Interference; Least squares method; Photogrammetry; Signal to noise ratio
• Old TRIS Terms: Random error
• Subject Areas: Design; Highways;

Filing Info

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