Physics-based classification of targets in SAR imagery using subaperture sequences

Published

Journal Article

It is well known that radar scattering from an illuminated object is often highly aspect dependent. We have developed a multi-aspect target classification technique for SAR imagery that incorporates matching-pursuits feature extraction from each of a sequence of subaperture images, in conjunction with a hidden Markov model that explicitly incorporates the target-sensor motion represented by the image sequence. This approach exploits the aspect dependence of the signal features to facilitate maximum-likelihood identification. We consider SAR imagery containing targets concealed by foliage.

Duke Authors

Cited Authors

  • Carin, L; Ybarra, G; Bharadwaj, P; Runkle, P

Published Date

  • January 1, 1999

Published In

Volume / Issue

  • 6 /

Start / End Page

  • 3341 - 3344

International Standard Serial Number (ISSN)

  • 0736-7791

Citation Source

  • Scopus