| M. D. DeVore, and J. A. O'Sullivan, "Performance complexity study of several approaches to automatic target recognition from SAR images," IEEE Trans. on Aero and Elect Syst. vol. 38, no. 2, pp. 632--648, 2002. |
.... seeks to adaptively model the background clutter, and detect targets as deviations from the model predictions (e.g. 3] 4] 5] 6] Another class of algorithms uses prior knowledge to construct a target signature, and compares the image under test to the signature (e.g. 7] 8] [9], 10] 11] 12] The latter comparison may be accomplished in a variety of ways, ranging from optimized neural networks (e.g. 11] 13] to statistically optimal likelihood functions (e.g. 14] 12] Of interest in our case is whether a mine is buried underground in the region being ....
M. D. DeVore, and J. A. O'Sullivan, "Performance complexity study of several approaches to automatic target recognition from SAR images," IEEE Trans. on Aero and Elect Syst., 38, 2, pp. 632--648, 2002.
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M. D. DeVore and J. A. O'Sullivan. A performance complexity study of several approaches to automatic target recognition from synthetic aperture radar images. IEEE Transactions on Aerospace and Electronic Systems. Submitted for publication.
No context found.
M. D. DeVore and J. A. O'Sullivan. A performance complexity study of several approaches to automatic target recognition from synthetic aperture radar images. IEEE Transactions on Aerospace and Electronic Systems. Submitted for publication.
No context found.
M. D. DeVore, and J. A. O'Sullivan, "Performance complexity study of several approaches to automatic target recognition from SAR images," IEEE Trans. on Aero and Elect Syst. vol. 38, no. 2, pp. 632--648, 2002.
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