Geometric Restoration of Satellite Image Data.

Abstract

We describe an approach for projecting satellite image data onto arbitrary map coordinates. This transformation removes distortions caused by the basic geometry of cross-track scanners and by spacecraft pitch, roll, and yaw. Geometrically restored images are useful for morphological analyses and correlative studies involving concurrent data from multiple sensors. It is possible, for example, to present AIRS passes from distinct receivers, all-sky camera images, radar data, and other relevant spatial measurements on one map in geographic coordinates. Out approach is rigorous in that arbitrary satellite motions are accounted for and exact principles of geometry are used throughout. The floating-point intensive geometry calculations are performed on an arbitrary (adjustable) reference grid, which can be coarse for quick-look purposes, or fine for highest accuracy. Concurrent images for distinct wavelengths can be efficiently projected without redundant geometry calculations. An IBM PC/AT compatible implementation for Polar BEAR AIRS image data is described. Results are presented for two data sets representing moderate and severe platform motions.

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Document Details

Document Type
Technical Report
Publication Date
Oct 15, 1987
Accession Number
ADA190462

Entities

People

  • R. D. Lucas
  • Robert E. Robins

Organizations

  • Northwest Research Associates

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Artificial Satellites
  • Classification
  • Coordinate Systems
  • Data Sets
  • Distortion
  • Geometry
  • Grids
  • Image Processing
  • Latitude
  • Map Projection
  • Measurement
  • Navigation
  • Platforms
  • Spacecraft
  • Three Dimensional

Fields of Study

  • Physics

Readers

  • Astronomy and Astrophysics.
  • Geodesy
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects