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Title:
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Sparsity-based radar imaging of building structures
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Author:
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Lagunas, Eva; Amin, Moeness; Ahmad, Fauzia; Nájar Martón, Montserrat
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
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Abstract:
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In this paper, we address imaging of the interior structure of a building using a reduced number of measurements in through-the-wall imaging and urban sensing applications. Unlike majority of the feature detection methods that are applied in the image domain, the proposed approach works in the data domain and exploits prior information of construction practices together with the sparsity described by the features. More specifically, the interior walls are assumed to be either parallel or perpendicular to the front wall and a dictionary of possible wall locations is proposed as a sparse representation of the scene. Compressive sensing is then applied to the reduced set of observations to recover the true positions of the walls. Supporting results based on laboratory experiments are provided. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
-Remote sensing
-Radar in navigation
-Building
-Compressed sensing
-Feature extraction
-Radar imaging
-Remote sensing by radar
-Teledetecció
-Radar en navegació |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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Share:
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