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Feature-based processing of pre-screener generated alarms for performance improvements in target identification using the niitek ground-penetrating radar system

Publication ,  Conference
Torrione, PA; Throckmorton, CS; Collins, L; Clodfelter, F; Frasier, S; Starnes, I; Bishop, S; Gugino, P; Howard, P; Weaver, R; Rosen, E
Published in: Proceedings of SPIE - The International Society for Optical Engineering
December 20, 2004

In this paper we present a multi-stage algorithm for target/clutter discrimination and target identification using the Niitek/Wichmann ground penetrating radar (GPR). To identify small subsets of GPR data for feature-processing, a pre-screening algorithm based on the 2-D lattice least mean squares (LMS) algorithm is used to flag locations of interest. Features of the measured GPR data at these flagged locations are then generated and pattern recognition techniques are used to identify targets using these feature sets. It has been observed that trained human subjects are often quite successful at discriminating targets from clutter. Some features are designed to take advantage of the visual aberrations that a human observer might use. Other features based on a variety of image and signal processing techniques are also considered. Results presented indicate improvements for feature-based processors over pre-screener algorithms.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

December 20, 2004

Volume

5415

Issue

PART 2

Start / End Page

984 / 995

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
 

Citation

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Torrione, P. A., Throckmorton, C. S., Collins, L., Clodfelter, F., Frasier, S., Starnes, I., … Rosen, E. (2004). Feature-based processing of pre-screener generated alarms for performance improvements in target identification using the niitek ground-penetrating radar system. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 5415, pp. 984–995). https://doi.org/10.1117/12.540926
Torrione, P. A., C. S. Throckmorton, L. Collins, F. Clodfelter, S. Frasier, I. Starnes, S. Bishop, et al. “Feature-based processing of pre-screener generated alarms for performance improvements in target identification using the niitek ground-penetrating radar system.” In Proceedings of SPIE - The International Society for Optical Engineering, 5415:984–95, 2004. https://doi.org/10.1117/12.540926.
Torrione PA, Throckmorton CS, Collins L, Clodfelter F, Frasier S, Starnes I, et al. Feature-based processing of pre-screener generated alarms for performance improvements in target identification using the niitek ground-penetrating radar system. In: Proceedings of SPIE - The International Society for Optical Engineering. 2004. p. 984–95.
Torrione, P. A., et al. “Feature-based processing of pre-screener generated alarms for performance improvements in target identification using the niitek ground-penetrating radar system.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 5415, no. PART 2, 2004, pp. 984–95. Scopus, doi:10.1117/12.540926.
Torrione PA, Throckmorton CS, Collins L, Clodfelter F, Frasier S, Starnes I, Bishop S, Gugino P, Howard P, Weaver R, Rosen E. Feature-based processing of pre-screener generated alarms for performance improvements in target identification using the niitek ground-penetrating radar system. Proceedings of SPIE - The International Society for Optical Engineering. 2004. p. 984–995.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

December 20, 2004

Volume

5415

Issue

PART 2

Start / End Page

984 / 995

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering