Skip to main content

Analysis of wideband forward looking synthetic aperture radar for sensing land mines

Publication ,  Journal Article
Kovvali, N; Carin, L
Published in: Radio Science
July 1, 2004

Signal processing algorithms are considered for the analysis of wideband, forward looking synthetic aperture radar data and for sensing metal and plastic land mines, with principal application to unpaved roads. Simple prescreening algorithms are considered for reduction of the search space required for a subsequent classifier. The classifier employs features based on viewing the target at multiple ranges, with classification implemented via a support vector machine and a relevance vector machine (RVM). Concerning classifier training, we consider cases for which training is performed on both mine and nonmine (clutter) data. In addition, motivated by the fact that the clutter statistics may vary significantly between the training and testing data, we also consider RVM implementation when we only train on mine data.

Duke Scholars

Published In

Radio Science

DOI

ISSN

0048-6604

Publication Date

July 1, 2004

Volume

39

Issue

4

Related Subject Headings

  • Meteorology & Atmospheric Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kovvali, N., & Carin, L. (2004). Analysis of wideband forward looking synthetic aperture radar for sensing land mines. Radio Science, 39(4). https://doi.org/10.1029/2003RS002967
Kovvali, N., and L. Carin. “Analysis of wideband forward looking synthetic aperture radar for sensing land mines.” Radio Science 39, no. 4 (July 1, 2004). https://doi.org/10.1029/2003RS002967.
Kovvali, N., and L. Carin. “Analysis of wideband forward looking synthetic aperture radar for sensing land mines.” Radio Science, vol. 39, no. 4, July 2004. Scopus, doi:10.1029/2003RS002967.

Published In

Radio Science

DOI

ISSN

0048-6604

Publication Date

July 1, 2004

Volume

39

Issue

4

Related Subject Headings

  • Meteorology & Atmospheric Sciences