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 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.

Main Author: Debes, Christian.
Other Authors: Hahn, Jurgen., Zoubir, Abdelhak M., Amin, Moeness G.
Format: Villanova Faculty Authorship
Language: English
Published: 2011
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173699
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author Debes, Christian.
author_facet_str_mv Debes, Christian.
Hahn, Jurgen.
Zoubir, Abdelhak M.
Amin, Moeness G.
author_or_contributor_facet_str_mv Debes, Christian.
Hahn, Jurgen.
Zoubir, Abdelhak M.
Amin, Moeness G.
author_s Debes, Christian.
spellingShingle Debes, Christian.
Target discrimination and classification in Through-the-Wall Radar Imaging.
author-letter Debes, Christian.
author_sort_str Debes, Christian.
author2 Hahn, Jurgen.
Zoubir, Abdelhak M.
Amin, Moeness G.
author2Str Hahn, Jurgen.
Zoubir, Abdelhak M.
Amin, Moeness G.
dc_title_str Target discrimination and classification in Through-the-Wall Radar Imaging.
title Target discrimination and classification in Through-the-Wall Radar Imaging.
title_short Target discrimination and classification in Through-the-Wall Radar Imaging.
title_full Target discrimination and classification in Through-the-Wall Radar Imaging.
title_fullStr Target discrimination and classification in Through-the-Wall Radar Imaging.
title_full_unstemmed Target discrimination and classification in Through-the-Wall Radar Imaging.
collection_title_sort_str target discrimination and classification in through-the-wall radar imaging.
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description 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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dc.title Target discrimination and classification in Through-the-Wall Radar Imaging.
dc.creator Debes, Christian.
Hahn, Jurgen.
Zoubir, Abdelhak M.
Amin, Moeness G.
dc.description 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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