Target discrimination and classification in Through-the-Wall Radar Imaging.
In this paper, a scheme for target discrimination and classification is proposed. The proposed scheme is applied to through-the-wall microwave images obtained by using a wideband radar implementing frequency-domain back-projection. We consider stationary targets where Doppler and change-detection ba...
Main Authors: | , , , |
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Format: | |
Language: | English |
Published: |
2011
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Online Access: | http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173699 |
Summary: | In this paper, a scheme for target discrimination
and classification is proposed. The proposed scheme is applied
to through-the-wall microwave images obtained by using a wideband
radar implementing frequency-domain back-projection. We
consider stationary targets where Doppler and change-detection
based techniques are inapplicable. The proposed scheme applies
image segmentation, followed by feature extraction. We map
target returns to a feature space, where discrimination among different
targets and clutter is performed. To achieve target-clutter
discriminations independent of target location in range and
cross-range, we use compensation methods to account for varying
system resolution within the perimeter of the scene imaged. Real
data collected using an indoor radar imaging scanner is used for
validation of performance. |
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