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Proceedings Paper

Coherent digital/optical system for automatic target recognition
Author(s): John I. Derr; Tammy G. Ghaffari
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Paper Abstract

Litton Data Systems has developed a hybrid ATR system using DataCube signal processing and imaging boards controlled by a host Sun workstation. The input image preprocessor includes detection algorithms that locate candidate targets in a simulated or real JR scene and segmentation algorithms that generate target outlines which are normalized for recognition processing by Litton's LIGHTMOD optical correlator. Target detection performs a raster scan over the image using nested boxes to find detection pixels based on intesity/variance contrasts. Segmentation operates on windows centered at the centroids of connected components of detection pixels. Optimal thresholds are determined from gray scale histograms. Multimodal optimization seeks to maximize edge/boundary proximities for candidate target and island components obtained by thresholding with respect to the optimal thresholds. Relaxation smooths the boundaries of optimal target components or merged target/island components. Normalization algorithms scale and center the component boundaries in a 128x128 LIGHT-MOD window. The LIGHT_MOD correlates the FT of the normalized outline with the FTs of a reference library of target outlines. Template matching is the basic technique used for recognition.

Paper Details

Date Published: 1 April 1991
PDF: 2 pages
Proc. SPIE 1406, Image Understanding in the '90s: Building Systems that Work, (1 April 1991); doi: 10.1117/12.47974
Show Author Affiliations
John I. Derr, Litton Data Systems (United States)
Tammy G. Ghaffari, Litton Data Systems (United States)

Published in SPIE Proceedings Vol. 1406:
Image Understanding in the '90s: Building Systems that Work
Brian T. Mitchell, Editor(s)

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