A Learning-Based Spatial Processing Method for the Detection of Point Targets
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/11739685_109.pdf
Reference11 articles.
1. Soni, T., Zeidler, J.R., Ku, W.H.: Performance evaluation of 2-D adaptive prediction filters for detection of point targets in image data. IEEE Trans. Image Process. 2, 327–340 (1993)
2. Ffrench, P.A., Zeidler, J.R., Ku, W.H.: Enhanced detectability of point targets in correlated clutter using an improved 2-D adaptive lattice algorithm. IEEE Trans. Image Process. 6, 383–397 (1997)
3. Sang, H.S., Shen, X.B., Chen, C.Y.: Architecture of a configurable 2-D adaptive filter used for small object detection and digital image processing. Opt. Eng. 42, 2182–2189 (2003)
4. Barnett, J.T., Billard, B.D., Lee, C.: Nonlinear morphological processors for point-target detection versus an adaptive linear spatial filter: a performance comparison. In: Proc. SPIE Int. Soc. Opt. Eng., vol. 1954, pp. 12–24 (1993)
5. Deshpande, S.D., Er, M.H., Ronda, V., Chan, P.: Max-Mean and Max-Median filters for detection of small-targets. In: Signal and Data Processing of Small Targets SPIE, vol. 3809, pp. 74–83 (1999)
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