Publikationsansicht

Target Prescreening Based on 2D Gamma Kernels (1995)

Abstract
This work develops and tests a new target prescreening algorithm based on 2D gamma kernels. The key feature of the new kernel set is the existence of a free parameter that determines the size of its region of support. We show that the scale affects the false alarm rate of the two parameter CFAR test. We also show that a linear discriminant function composed from the linear and quadratic terms of the intensity in the test cell neighborhood improves the false alarm rate when compared with the two parameter CFAR.

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.20.8817
Quelle http://www.cnel.ufl.edu/bib/pdf_papers/principe95spie.pdf
Mitarbeiter CiteSeerX
Archiv CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords gamma kernels, two parameter CFAR, automatic target detection
Typ text
Sprache Englisch
Verknüpfungen 10.1.1.31.3701, 10.1.1.29.4038, 10.1.1.64.2202