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Exploiting spectral content for image segmentation in GPR data

Publication ,  Conference
Wang, PK; Morton, KD; Collins, LM; Torrione, PA
Published in: Proceedings of SPIE - The International Society for Optical Engineering
July 13, 2011

Ground-penetrating radar (GPR) sensors provide an effective means for detecting changes in the sub-surface electrical properties of soils, such as changes indicative of landmines or other buried threats. However, most GPR-based pre-screening algorithms only localize target responses along the surface of the earth, and do not provide information regarding an object's position in depth. As a result, feature extraction algorithms are forced to process data from entire cubes of data around pre-screener alarms, which can reduce feature fidelity and hamper performance. In this work, spectral analysis is investigated as a method for locating subsurface anomalies in GPR data. In particular, a 2-D spatial/frequency decomposition is applied to pre-screener flagged GPR B-scans. Analysis of these spatial/frequency regions suggests that aspects (e.g. moments, maxima, mode) of the frequency distribution of GPR energy can be indicative of the presence of target responses. After translating a GPR image to a function of the spatial/frequency distributions at each pixel, several image segmentation approaches can be applied to perform segmentation in this new transformed feature space. To illustrate the efficacy of the approach, a performance comparison between feature processing with and without the image segmentation algorithm is provided. © 2011 SPIE.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

July 13, 2011

Volume

8017

Related Subject Headings

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

Citation

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Wang, P. K., Morton, K. D., Collins, L. M., & Torrione, P. A. (2011). Exploiting spectral content for image segmentation in GPR data. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 8017). https://doi.org/10.1117/12.884874
Wang, P. K., K. D. Morton, L. M. Collins, and P. A. Torrione. “Exploiting spectral content for image segmentation in GPR data.” In Proceedings of SPIE - The International Society for Optical Engineering, Vol. 8017, 2011. https://doi.org/10.1117/12.884874.
Wang PK, Morton KD, Collins LM, Torrione PA. Exploiting spectral content for image segmentation in GPR data. In: Proceedings of SPIE - The International Society for Optical Engineering. 2011.
Wang, P. K., et al. “Exploiting spectral content for image segmentation in GPR data.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 8017, 2011. Scopus, doi:10.1117/12.884874.
Wang PK, Morton KD, Collins LM, Torrione PA. Exploiting spectral content for image segmentation in GPR data. Proceedings of SPIE - The International Society for Optical Engineering. 2011.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

July 13, 2011

Volume

8017

Related Subject Headings

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