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Multi-aspect target detection for SAR imagery using hidden Markov models

Publication ,  Journal Article
Runkle, P; Nguyen, LH; McClellan, JH; Carin, L
Published in: IEEE Transactions on Geoscience and Remote Sensing
January 1, 2001

Radar scattering from an illuminated object is often highly dependent on the target-sensor orientation. In typical synthetic aperture radar (SAR) imagery, the information in the multi-aspect target signatures is diffused in the image-formation process. In an effort to exploit the aspect dependence of the target signature, we employ a sequence of directional filters to the SAR imagery, thereby generating a sequence of subaperture images that recover the directional dependence of the target scattering. The scattering statistics are then used to design a hidden Markov model (HMM), wherein the orientation-dependent scattering statistics are exploited explicitly. This approach fuses information embodied in the orientation-dependent target signature under the assumption that both the target identity and orientation are unknown. Performance is assessed by considering the detection of tactical targets concealed in foliage, using measured foliage-penetrating (FOPEN) SAR data.

Duke Scholars

Published In

IEEE Transactions on Geoscience and Remote Sensing

DOI

ISSN

0196-2892

Publication Date

January 1, 2001

Volume

39

Issue

1

Start / End Page

46 / 55

Related Subject Headings

  • Geological & Geomatics Engineering
  • 40 Engineering
  • 37 Earth sciences
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0404 Geophysics
 

Citation

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Runkle, P., Nguyen, L. H., McClellan, J. H., & Carin, L. (2001). Multi-aspect target detection for SAR imagery using hidden Markov models. IEEE Transactions on Geoscience and Remote Sensing, 39(1), 46–55. https://doi.org/10.1109/36.898664
Runkle, P., L. H. Nguyen, J. H. McClellan, and L. Carin. “Multi-aspect target detection for SAR imagery using hidden Markov models.” IEEE Transactions on Geoscience and Remote Sensing 39, no. 1 (January 1, 2001): 46–55. https://doi.org/10.1109/36.898664.
Runkle P, Nguyen LH, McClellan JH, Carin L. Multi-aspect target detection for SAR imagery using hidden Markov models. IEEE Transactions on Geoscience and Remote Sensing. 2001 Jan 1;39(1):46–55.
Runkle, P., et al. “Multi-aspect target detection for SAR imagery using hidden Markov models.” IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 1, Jan. 2001, pp. 46–55. Scopus, doi:10.1109/36.898664.
Runkle P, Nguyen LH, McClellan JH, Carin L. Multi-aspect target detection for SAR imagery using hidden Markov models. IEEE Transactions on Geoscience and Remote Sensing. 2001 Jan 1;39(1):46–55.

Published In

IEEE Transactions on Geoscience and Remote Sensing

DOI

ISSN

0196-2892

Publication Date

January 1, 2001

Volume

39

Issue

1

Start / End Page

46 / 55

Related Subject Headings

  • Geological & Geomatics Engineering
  • 40 Engineering
  • 37 Earth sciences
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0404 Geophysics