Building interior layout reconstruction from through-the-wall radar image using MST-based method

Author:

Chen Bo,Jin Tian,Lu Biying,Zhou Zhimin

Abstract

Abstract In order to reconstruct the building interior layout from the through-the-wall radar image, this paper proposes a method based on minimum spanning tree (MST) which comes from the graph theory. The building layout graph (BLG) model is firstly established using the wall-wall-floor trihedrals inside the building. The vertex set and the edge set including the weight between any two nodes of the graph are defined afterwards. Then, the MST-based method is used to reconstruct the building interior layout. We have also improved the traditional method by applying the MST model with restricted conditions to solve the reconstruction problem when there exist interference targets in a building. The anechoic chamber measurements are carried out to demonstrate the suitability and efficacy of the MST-based method.

Publisher

Springer Science and Business Media LLC

Reference20 articles.

1. Baranoski EJ: Through wall imaging: historical perspective and future directions. Proc. IEEE ICASSP 2008, 5173-5176.

2. Borek SE: An overview of through the wall surveillance for homeland security. Proceedings of the 34th Applied Imagery and Pattern Recognition Workshop (AIPR05) 2005, 6.

3. de Wit JJM, van Rossum WL, Smits FMA: SAPPHIRE: a novel building mapping radar. Proceedings of the 39th European Microwave Conference 2009, 1896-1899.

4. de Wit JJM, Anitori L, van Rossum WL, Tan RG: Radar mapping of buildings using sparse reconstruction with an overcomplete dictionary. Proceedings of the 8th European Radar Conference 2011, 9-12.

5. Soldovieri F, Solimene R: Through-wall imaging via a linear inverse scattering algorithm. IEEE Geosci. Remote Sens. Lett. 2007, 4(4):513-517.

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3