Radar image understanding for complex space objects

Paul F. Hemler

doi:10.1117/12.25134

1 February 1991 Radar image understanding for complex space objects

Paul F. Hemler

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25134
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

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.

Citation Download Citation

Paul F. Hemler "Radar image understanding for complex space objects", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25134

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