Selection and model-based recognition of control features for the automated resection of satellite imagery

James J. Pearson; Walter J. Mueller; James A. Olson

doi:10.1117/12.226814

17 November 1995 Selection and model-based recognition of control features for the automated resection of satellite imagery

James J. Pearson, Walter J. Mueller, James A. Olson

Author Affiliations +

Proceedings Volume 2587, Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing; (1995) https://doi.org/10.1117/12.226814
Event: Satellite Remote Sensing II, 1995, Paris, France

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.

Citation Download Citation

James J. Pearson, Walter J. Mueller, and James A. Olson "Selection and model-based recognition of control features for the automated resection of satellite imagery", Proc. SPIE 2587, Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing, (17 November 1995); https://doi.org/10.1117/12.226814

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