Automatic target recognition employing signal compression
Applied Optics, Vol. 46, Issue 21, pp. 4702-4711 (2007)
http://dx.doi.org/10.1364/AO.46.004702
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Abstract
Quadratic correlation filters (QCFs) have been used successfully to detect and recognize targets embedded in background clutter. Recently, a QCF called the Rayleigh quotient quadratic correlation filter (RQQCF) was formulated for automatic target recognition (ATR) in IR imagery. Using training images from target and clutter classes, the RQQCF explicitly maximized a class separation metric. What we believe to be a novel approach is presented for ATR that synthesizes the RQQCF using compressed images. The proposed approach considerably reduces the computational complexity and storage requirements while retaining the high recognition accuracy of the original RQQCF technique. The advantages of the proposed scheme are illustrated using sample results obtained from experiments on IR imagery.
© 2007 Optical Society of America
OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition
ToC Category:
Image Processing
History
Original Manuscript: January 16, 2007
Manuscript Accepted: March 2, 2007
Published: July 6, 2007
Citation
Pradeep Ragothaman, Wasfy B. Mikhael, Robert R. Muise, and Abhijit Mahalanobis, "Automatic target recognition employing signal compression," Appl. Opt. 46, 4702-4711 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-21-4702
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