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Image segmentation techniques for improved processing of landmine responses in ground penetrating radar data

Publication ,  Conference
Torrione, PA; Collins, L
Published in: Proceedings of SPIE - The International Society for Optical Engineering
November 15, 2007

As ground penetrating radar sensor phenomenology improves, more advanced statistical processing approaches become applicable to the problem of landmine detection in GPR data. Most previous studies on landmine detection in GPR data have focused on the application of statistics and physics based prescreening algorithms, new feature extraction approaches, and improved feature classification techniques. In the typical framework, prescreening algorithms provide spatial location information of anomalous responses in down-track / cross-track coordinates, and feature extraction algorithms are then tasked with generating low-dimensional information-bearing feature sets from these spatial locations. However in time-domain GPR, a significant portion of the data collected at prescreener flagged locations may be unrelated to the true anomaly responses - e.g. ground bounce response, responses either temporally "before" or "after" the anomalous response, etc. The ability to segment the information-bearing region of the GPR image from the background of the image may thus provide improved performance for feature-based processing of anomaly responses. In this work we will explore the application of Markov random fields (MRFs) to the problem of anomaly/background segmentation in GPR data. Preliminary results suggest the potential for improved feature extraction and overall performance gains via application of image segmentation approaches prior to feature extraction.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

ISBN

9780819466754

Publication Date

November 15, 2007

Volume

6553

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., & Collins, L. (2007). Image segmentation techniques for improved processing of landmine responses in ground penetrating radar data. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 6553). https://doi.org/10.1117/12.718128
Torrione, P. A., and L. Collins. “Image segmentation techniques for improved processing of landmine responses in ground penetrating radar data.” In Proceedings of SPIE - The International Society for Optical Engineering, Vol. 6553, 2007. https://doi.org/10.1117/12.718128.
Torrione PA, Collins L. Image segmentation techniques for improved processing of landmine responses in ground penetrating radar data. In: Proceedings of SPIE - The International Society for Optical Engineering. 2007.
Torrione, P. A., and L. Collins. “Image segmentation techniques for improved processing of landmine responses in ground penetrating radar data.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 6553, 2007. Scopus, doi:10.1117/12.718128.
Torrione PA, Collins L. Image segmentation techniques for improved processing of landmine responses in ground penetrating radar data. Proceedings of SPIE - The International Society for Optical Engineering. 2007.
Journal cover image

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

ISBN

9780819466754

Publication Date

November 15, 2007

Volume

6553

Related Subject Headings

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