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

Lawrence Carin, Gary Ybarra, Priya Bharadwaj, Paul Runkle

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)3341-3344
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Jan 1 1999
Externally publishedYes

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