Accession Number : ADA190462

Title :   Geometric Restoration of Satellite Image Data.

Descriptive Note : Scientific rept. no. 3, 20 Feb-30 Sep 87,

Corporate Author : NORTHWEST RESEARCH ASSOCIATES INC BELLEVUE WA

Personal Author(s) : Lucas, R D ; Robins, Robert E

PDF Url : ADA190462

Report Date : 15 Oct 1987

Pagination or Media Count : 31

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.

Descriptors :   *COORDINATES, *GEOMETRY, *GRIDS, *IMAGES, *MULTISENSORS, *PITCH(MOTION), *YAW, *IMAGE PROCESSING, *SATELLITE PHOTOGRAPHY, *IMAGE RESTORATION, *MAPPING(TRANSFORMATIONS), COMPENSATION, MOTION, SATELLITE ATTITUDE, ACCURACY, ARTIFICIAL SATELLITES, DATA BASES, FLOATING POINT OPERATION, GEOGRAPHY, HIGH RATE, INTENSITY, MEASUREMENT, MORPHOLOGY, PLATFORMS, RADAR, REDUNDANCY, SCANNERS, SPACECRAFT, SPATIAL DISTRIBUTION, TELEMETERING DATA, TRACKS, SCIENTIFIC SATELLITES, COMPUTER APPLICATIONS, POLAR ORBIT TRAJECTORIES

Subject Categories : Cartography and Aerial Photography
      Theoretical Mathematics

Distribution Statement : APPROVED FOR PUBLIC RELEASE