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Land Mine Detection in Rotationally Invariant Noise Fields

Lennart Svensson (Institutionen för signaler och system, Signalbehandling) ; Magnus Lundberg (Institutionen för signaler och system, Signalbehandling)
Proc. of the 2001 IEEE Workshop on Statistical Signal Processing p. 170-173. (2001)
[Konferensbidrag, refereegranskat]

This paper proposes a method to detect infrared land mine signatures embedded in rotationally invariant colored noise. A common problem in statistical image processing is high dimensionality. This causes a need for large sets of training data. To overcome this, an alternative formulation of the Generalized Likelihood Ratio Test (GLRT) is presented. This formulation makes it possible to utilize the circular-symmetry, rendering a substantial decrease in model dimensionality and consequently, in the amount of training data needed. Simulations indicate that a significant gain in performance can be achieved compared to both the non-parameterized detector and the matched filter.

Denna post skapades 2006-08-25. Senast ändrad 2017-01-27.
CPL Pubid: 14967


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