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Proceedings Paper

Radar image understanding for complex space objects
Author(s): Paul F. Hemler
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Paper Abstract

A system for identifying complex space objects from a sequence of wideband radar images is presented in this paper. The system is referred to as the Complex Space Object Recognition System (CSORS) and uses a data-driven approach to object recognition. The input to the system is a time sequence of range/Doppler radar images of an object in orbit as the object passes overhead. The system first processes the individual images to improve the signal-to-noise-ratio and then further processes each image to derive a set of features. The sequence of feature sets for each pass of the object is then processed to produce a three-dimensional wireframe of the object. Finally, a symbolic model representing the object is generated from the wireframe. This model is matched against a library of models and appended to the library if a match is not found.

Paper Details

Date Published: 1 February 1991
PDF: 11 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25134
Show Author Affiliations
Paul F. Hemler, Lincoln Lab./MIT (United States)

Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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