Skip to main content

Multi-aspect target detection for SAR imagery using hidden Markov models and two-dimensional matching pursuits

Publication ,  Journal Article
Runkle, P; Nguyen, L; Carin, L
Published in: Proceedings of SPIE - The International Society for Optical Engineering
January 1, 2000

Radar scattering from an illuminated object is often dependent on target-sensor orientation. In synthetic aperture radar (SAR) imagery, the aspect dependence of the target over the aperture is lost during image formation. To recover this directional dependence, we post-processes the SAR imagery to generate a sequence of images over a corresponding sequence of subapertures. Features are extracted from the sequence of subaperture images using a two-dimensional matching pursuits algorithm. The feature statistics associated with geometrically distinct target-sensor orientations are then used to design a hidden Markov model (HMM) for the target class. This approach explicitly incorporates the sensor motion into the model and accounts for the fact that the orientation of the target is assumed to be unknown. Performance is quantified by considering the detection of tactical targets concealed in foliage.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

ISSN

0277-786X

Publication Date

January 1, 2000

Volume

4053

Start / End Page

251 / 259

Related Subject Headings

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

Citation

APA
Chicago
ICMJE
MLA
NLM
Runkle, P., Nguyen, L., & Carin, L. (2000). Multi-aspect target detection for SAR imagery using hidden Markov models and two-dimensional matching pursuits. Proceedings of SPIE - The International Society for Optical Engineering, 4053, 251–259.
Runkle, P., L. Nguyen, and L. Carin. “Multi-aspect target detection for SAR imagery using hidden Markov models and two-dimensional matching pursuits.” Proceedings of SPIE - The International Society for Optical Engineering 4053 (January 1, 2000): 251–59.
Runkle P, Nguyen L, Carin L. Multi-aspect target detection for SAR imagery using hidden Markov models and two-dimensional matching pursuits. Proceedings of SPIE - The International Society for Optical Engineering. 2000 Jan 1;4053:251–9.
Runkle, P., et al. “Multi-aspect target detection for SAR imagery using hidden Markov models and two-dimensional matching pursuits.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 4053, Jan. 2000, pp. 251–59.
Runkle P, Nguyen L, Carin L. Multi-aspect target detection for SAR imagery using hidden Markov models and two-dimensional matching pursuits. Proceedings of SPIE - The International Society for Optical Engineering. 2000 Jan 1;4053:251–259.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

ISSN

0277-786X

Publication Date

January 1, 2000

Volume

4053

Start / End Page

251 / 259

Related Subject Headings

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