Jia Yong, Kong Ling-Jiang, Ma Jing, Yang Xiao-Bo. Through-wall-radar Multi-view Imaging for Architectural Layout of Building[J]. Journal of Electronics & Information Technology, 2013, 35(5): 1114-1119. doi: 10.3724/SP.J.1146.2012.01056
Citation:
Jia Yong, Kong Ling-Jiang, Ma Jing, Yang Xiao-Bo. Through-wall-radar Multi-view Imaging for Architectural Layout of Building[J]. Journal of Electronics & Information Technology, 2013, 35(5): 1114-1119. doi: 10.3724/SP.J.1146.2012.01056
Jia Yong, Kong Ling-Jiang, Ma Jing, Yang Xiao-Bo. Through-wall-radar Multi-view Imaging for Architectural Layout of Building[J]. Journal of Electronics & Information Technology, 2013, 35(5): 1114-1119. doi: 10.3724/SP.J.1146.2012.01056
Citation:
Jia Yong, Kong Ling-Jiang, Ma Jing, Yang Xiao-Bo. Through-wall-radar Multi-view Imaging for Architectural Layout of Building[J]. Journal of Electronics & Information Technology, 2013, 35(5): 1114-1119. doi: 10.3724/SP.J.1146.2012.01056
Through-wall-radar imaging is performed to image the architectural layout imaging and hidden target of building. Wall images formed through the architectural layout imaging are considered as the reference to define the relative position of the hidden target in building, which further contributes to implement wall phase compensation and multi-path suppression. In this paper, a multi-view imaging approach for the architectural layout is proposed. Firstly, multiple single-view layout images with the part of wall images are formed from multi-view synthetic aperture echoes through back-projection imaging algorithm. Then based on M-N-K detector, these single-view images are fused to one binary layout image with all wall images. Finally, median filter and Hough transformation are adopted to reduce the cavities and burrs in wall images to generate the near-tidy panorama image of architectural layout. XFDTD simulation and through-wall-radar experiment data validate the correctness and feasibility of the proposed approach.