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Proceedings Paper

Microwave And Camera Sensor Fusion For The Shape Extraction Of Metallic 3D Space Objects
Author(s): Scott W. Shaw; Rui J.P. deFigueiredo; Kumar Krishen
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Paper Abstract

The vacuum of space presents special problems for optical image sensors. Metallic objects in this environment can produce intense specular reflections and deep shadows. By combining the polarized RCS with an incomplete camera image, we have been able to better determine the shape of some simple 3D objects. The radar data is used in an iterative procedure that generates successive approxima-tions to the target shape by minimizing the error between computed scattering cross-sections and the observed radar returns. Favorable results have been obtained for simulations and experiments recon-structing plates, ellipsoids and arbitrary surfaces.

Paper Details

Date Published: 5 January 1989
PDF: 10 pages
Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); doi: 10.1117/12.948909
Show Author Affiliations
Scott W. Shaw, Rice University (United States)
Rui J.P. deFigueiredo, Rice University (United States)
Kumar Krishen, NASA Johnson Space Center (United States)

Published in SPIE Proceedings Vol. 1003:
Sensor Fusion: Spatial Reasoning and Scene Interpretation
Paul S. Schenker, Editor(s)

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