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Proceedings Paper

Selection and model-based recognition of control features for the automated resection of satellite imagery
Author(s): James J. Pearson; Walter J. Mueller; James A. Olson
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Paper Abstract

A key step in the controlling of a newly acquired satellite image of a known area, is the reliable recognition and accurate image space coordinate measurement of previously selected control features on the ground. This is an ideal case for the application of model-based vision techniques, since considerable information is known in advance about both the scene and the imaging conditions. Ideally, this information includes the location, three-dimensional geometry and surface materials of fixed scene objects, approximate camera location and orientation data, and illumination conditions such as sun angle and atmospheric effects. This paper addresses the questions of which scene objects to select as control, what portions of the available information to use, and how best to apply it in practical situations. The control of both monoscopic images and stereo pairs is addressed. A detailed example is presented to illustrate the principles discussed.

Paper Details

Date Published: 17 November 1995
PDF: 6 pages
Proc. SPIE 2587, Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing, (17 November 1995); doi: 10.1117/12.226814
Show Author Affiliations
James J. Pearson, GDE Systems, Inc. (United States)
Walter J. Mueller, GDE Systems, Inc. (United States)
James A. Olson, GDE Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 2587:
Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing
Joan B. Lurie; James J. Pearson; Eugenio Zilioli, Editor(s)

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