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Land mine detection in rotationally invariant noise fields
Chalmers University of Technology.
2001 (English)In: SSP '2001: [proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing, 6th - 8th August 2001, Orchid Country Club, Singapore], Piscataway, NJ: IEEE Communications Society, 2001, p. 170-173Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2001. p. 170-173
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-29310DOI: 10.1109/SSP.2001.955249Scopus ID: 35556103Local ID: 2bf57e50-f179-11df-8b36-000ea68e967bISBN: 0-7803-7011-2 (print)OAI: oai:DiVA.org:ltu-29310DiVA, id: diva2:1002533
Conference
IEEE Workshop on Statistical Signal Processing : 06/08/2001 - 08/08/2001
Note
Upprättat; 2001; 20101116 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Lundberg, Magnus

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  • apa
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