Paper
5 January 1989 Microwave And Camera Sensor Fusion For The Shape Extraction Of Metallic 3D Space Objects
Scott W. Shaw, Rui J.P. deFigueiredo, Kumar Krishen
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Proceedings Volume 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation; (1989) https://doi.org/10.1117/12.948909
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Scott W. Shaw, Rui J.P. deFigueiredo, and Kumar Krishen "Microwave And Camera Sensor Fusion For The Shape Extraction Of Metallic 3D Space Objects", Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); https://doi.org/10.1117/12.948909
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KEYWORDS
Cameras

Microwave radiation

Scattering

Sensor fusion

3D modeling

Radar

Polarization

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