Robust method for the motion compensation of ISAR imagery

Benjamin C. Flores

doi:10.1117/12.57087

1 February 1992 Robust method for the motion compensation of ISAR imagery

Benjamin C. Flores

Proceedings Volume 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques; (1992) https://doi.org/10.1117/12.57087
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

A technique for improving stepped-frequency inverse synthetic aperture radar (ISAR) imagery via entropy minimization is presented. Image improvement is achieved in the frequency domain where the echo phase can be adjusted to compensate for radial motion. The computational algorithm which determines motion parameters that reduce entropy to an absolute minimum is based on the golden-section-search method and operates in a closed-loop mode. Using this technique one can efficiently focus the image generated by a fully automated high-resolution-radar system that evaluates its own performance in terms of image quality.

Citation Download Citation

Benjamin C. Flores "Robust method for the motion compensation of ISAR imagery", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); https://doi.org/10.1117/12.57087

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