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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 45, Iss. 28 — Oct. 1, 2006
  • pp: 7365–7374

Integrated approach for automatic target recognition using a network of collaborative sensors

Abhijit Mahalanobis and Alan Van Nevel  »View Author Affiliations

Applied Optics, Vol. 45, Issue 28, pp. 7365-7374 (2006)

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We introduce what is believed to be a novel concept by which several sensors with automatic target recognition (ATR) capability collaborate to recognize objects. Such an approach would be suitable for netted systems in which the sensors and platforms can coordinate to optimize end-to-end performance. We use correlation filtering techniques to facilitate the development of the concept, although other ATR algorithms may be easily substituted. Essentially, a self-configuring geometry of netted platforms is proposed that positions the sensors optimally with respect to each other, and takes into account the interactions among the sensor, the recognition algorithms, and the classes of the objects to be recognized. We show how such a paradigm optimizes overall performance, and illustrate the collaborative ATR scheme for recognizing targets in synthetic aperture radar imagery by using viewing position as a sensor parameter.

© 2006 Optical Society of America

OCIS Codes
(100.5010) Image processing : Pattern recognition
(100.6740) Image processing : Synthetic discrimination functions
(160.0160) Materials : Materials
(350.0350) Other areas of optics : Other areas of optics

ToC Category:
Image Processing

Original Manuscript: February 21, 2006
Manuscript Accepted: March 31, 2006

Abhijit Mahalanobis and Alan Van Nevel, "Integrated approach for automatic target recognition using a network of collaborative sensors," Appl. Opt. 45, 7365-7374 (2006)

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