Abstract
In this paper, we propose a new constant false alarm rate (CFAR) detector based on a family of gamma kernels which provide the ability to change the scale and shape of a stencil that models the local area in an image. This new detector is called the CFAR detector. The scale and shape can be selected adaptively after training in such a way so as to give minimum false alarms. The detector makes the maximal use of intensity information to discriminate targets from background clutter. A significant increase in the signal-to-noise ratio can be attained.
This work was supported by the Florida Space Grant Consortium.
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Kim, M., Fisher, John III, and Principe, Jose C., 1996, in Proc. SPIE.
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© 1997 Springer Science+Business Media New York
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Nair, A.D., Principe, J.C., Kim, M. (1997). The New γ-CFAR Detector For Astronomical Image Processing. In: Babu, G.J., Feigelson, E.D. (eds) Statistical Challenges in Modern Astronomy II. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1968-2_27
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DOI: https://doi.org/10.1007/978-1-4612-1968-2_27
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