Land Mine Detection in Rotationally Invariant Noise Fields
Paper in proceedings, 2001

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.

Author

Lennart Svensson

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Magnus Lundberg

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Proc. of the 2001 IEEE Workshop on Statistical Signal Processing

170-173

Subject Categories

Computer and Information Science

More information

Created

10/8/2017