
Proceedings Paper
Improved interior wall detection using designated dictionaries in compressive urban sensing problemsFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, we address sparsity-based imaging of building interior structures for through-the-wall radar imaging
and urban sensing applications. The proposed approach utilizes information about common building construction
practices to form an appropriate sparse representation of the building layout. With a ground based SAR system,
and considering that interior walls are either parallel or perpendicular to the exterior walls, the antenna at each
position would receive reflections from the walls parallel to the radar's scan direction as well as from the corners
between two meeting walls. We propose a two-step approach for wall detection and localization. In the first
step, a dictionary of possible wall locations is used to recover the positions of both interior and exterior walls
that are parallel to the scan direction. A follow-on step uses a dictionary of possible corner reflectors to locate
wall-wall junctions along the detected wall segments, thereby determining the true wall extents and detecting
walls perpendicular to the scan direction. The utility of the proposed approach is demonstrated using simulated
data.
Paper Details
Date Published: 31 May 2013
PDF: 7 pages
Proc. SPIE 8717, Compressive Sensing II, 87170K (31 May 2013); doi: 10.1117/12.2015410
Published in SPIE Proceedings Vol. 8717:
Compressive Sensing II
Fauzia Ahmad, Editor(s)
PDF: 7 pages
Proc. SPIE 8717, Compressive Sensing II, 87170K (31 May 2013); doi: 10.1117/12.2015410
Show Author Affiliations
Published in SPIE Proceedings Vol. 8717:
Compressive Sensing II
Fauzia Ahmad, Editor(s)
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