Determining building interior structures using compressive sensing
Cita com:
hdl:2117/18289
Tipus de documentArticle
Data publicació2013-01-22
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
We consider imaging of the building interior structures using Compressive Sensing (CS) with
applications to through-the-wall imaging and urban sensing. We consider a monostatic synthetic aperture
radar imaging system employing stepped frequency waveform. The proposed approach exploits prior
information of building construction practices to form an appropriate sparse representation of the building
interior layout. We devise a dictionary of possible wall locations, which is consistent with the fact that
interior walls are typically parallel or perpendicular to the front wall. The dictionary accounts for the
dominant normal angle reflections from exterior and interior walls for the monostatic imaging system.
Compressive sensing is applied to a reduced set of observations to recover the true positions of the
walls. Additional information about interior walls can be obtained using a dictionary of possible corner
reflectors, which is the response of the junction of two walls. Supporting results based on simulation
and laboratory experiments are provided. It is shown that the proposed sparsifying basis outperforms
the conventional through-the-wall CS model, the wavelet sparsifying basis, and the block sparse model
for building interior layout detection.
CitacióLagunas, E. [et al.]. Determining building interior structures using compressive sensing. "Journal of electronic imaging", 22 Gener 2013, vol. 22, núm. 2.
ISSN1017-9909
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Manuscript_JEIBuildingLayout.pdf | Determining Building Interior Structures using Compressive Sensing | 519,8Kb | Visualitza/Obre |