THE INVERSION OF THE NORMAL EQUATIONS OF ANALYTICAL AEROTRIANGULATION BY THE METHOD OF RECURSIVE PARTITIONING.

Abstract

The feasibility of the simulataneous reduction of large blocks of aerial photographs by analytical techniques reported by various sources had led to the requirement for a deeper analysis of the properties of the solution. Such an analysis requires as a minimum, the standard errors of the elements of exterior orientation of the photographs and the ground coordinates of the pass points as determined by the analytical aero-triangulation. An impediment, until now in obtaining these data was the large computational effort involved in computing the full inverse of the normal equations and the degradation of the results due to cumulative round-off error during the computation. This study reports a highly successful effort to overcome these difficulties by using a method which systematically takes into account the highly patterned structure of the reduced normal equations. The reduced normal equations, involving only the elements of exterior orientation, are primarily banded about the diagonal. The Method of Recursive Partitioning consists of an algorithm which systematically limits the computation to those entries of the matrix which are required for determining the standard errors of the unknown parameters. The savings in time and increase in computational precision over conventional approaches to direct inversion and solution make the operational implementation of the method highly desirable for solving the system of equations as well as the inversion of the associated coefficient matrix. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1967
Accession Number
AD0381131

Entities

People

  • Maurice S. Gyer

Tags

DTIC Thesaurus Topics

  • Aerial Photographs
  • Algorithms
  • Coefficients
  • Computations
  • Coordinate Systems
  • Degradation
  • Equations
  • Inversion
  • Mathematical Analysis
  • Mathematics
  • Orientation (Direction)
  • Photographic Materials
  • Photographs
  • Photography
  • Precision
  • Standards

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