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Proceedings Paper

Integrated image processing and tracker performance prediction workstation
Author(s): Timothy J. Schneeberger; Harold D. McIntire
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Paper Abstract

Extensive research has shown that including target aspect angle measurements from an optical sensor can significantly improve the performance of radar tracking systems. Integrating sequences of target imagery with the kinematic information involves sets of image processing and sensor data fusion algorithms. A workstation has been developed to expedite the analysis of the algorithms and to integrate the image processing with selectable extended-state tracker modules. This workstation can access analog video imagery from a video optical disk controlled by a PC, segment the target in the image, and perform target identification and aspect angle estimation using a database of target models which span the range of possible aspects. The angle information is then `fused' with kinematic data to augment the tracker state estimator. The workstation is implemented with a powerful visual user interface in a UNIX/X- Windows environment, and includes a wide array of image and signal processing algorithms. Interactive modifications of processing sequences and `what if' analyses are easily conducted. The workstation provides a consistent user interface across a variety of applications. This system has also been used to implement phase retrieval and related image recovery algorithms.

Paper Details

Date Published: 1 December 1991
PDF: 7 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50797
Show Author Affiliations
Timothy J. Schneeberger, Applied Technology Associates, Inc. (United States)
Harold D. McIntire, Applied Technology Associates, Inc. (United States)


Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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