Satellite Attitude Determination Using Linear Combination of Models

Abstract

In satellite analysis, it is often necessary to determine the attitude of a satellite from a two dimensional image of the satellite. This thesis describes work performed to determine the attitude of a satellite relative to a reference position. The attitude is described in terms of the scaling, rotation and translation of the reference that will result in a pose that can be projected to form the image of interest. The techniques used are based on finding coefficients for the linear combination of basis images and decomposition of a composite transformation matrix. The methods were initially modeled in Mathematica and applied to simple objects, then implemented on a Silicon Graphics Workstation and applied to a model of an actual satellite. An accurate estimate of the pose of a satellite in a 2D image can be estimated based on the information contained in the image and a 3D model of the satellite or a set of images of the satellite at known orientations. Results of a performance analysis of the SGI implementation, a user's guide, source code in Mathematica and a software reference are included. Attitude determination, Linear combination, Basis image, Linear transformation, Satellite modeling.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1993
Accession Number
ADA274082

Entities

People

  • Martin S. Chin

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Satellites
  • Computer Graphics
  • Computer Programming
  • Computer Programs
  • Computers
  • Engineering
  • Geometry
  • Identification
  • Image Registration
  • Meteorological Satellites
  • Neural Networks
  • Orientation (Direction)
  • Recognition
  • Satellite Orientation
  • Three Dimensional
  • Two Dimensional

Readers

  • Computer Vision.
  • Database Systems and Applications
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • Space