Volume 11 Issue 1
Feb.  2022
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Article Navigation >  Journal of Radars  > 2022  >  11(1): 144-156
WANG Wei, XU Huarong, WEI Hanyu, et al. Progressive building facade detection for regularizing array InSAR point clouds[J]. Journal of Radars, 2022, 11(1): 144–156. doi: 10.12000/JR21177
Citation: WANG Wei, XU Huarong, WEI Hanyu, et al. Progressive building facade detection for regularizing array InSAR point clouds[J]. Journal of Radars, 2022, 11(1): 144–156. doi: 10.12000/JR21177
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Progressive Building Facade Detection for Regularizing Array InSAR Point Clouds

doi: 10.12000/JR21177
  • 1.

    School of Network Engineering, Zhoukou Normal University, Zhoukou 466001, China

  • 2.

    School of Computer Information Engineering, Xiamen University of Technology, Xiamen 361024, China

  • 3.

    College of Mathematics and Statistics, Zhoukou Normal University, Zhoukou 466001, China

  • 4.

    Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

  • 5.

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China

Funds:  The National Natural Science Foundation of China (61991423, U1805264), The Foundation of the Lab of Space Optoelectronic Measurement & Perception (502K0019118), The Science and Technique Project of Henan (212102310397)
More Information
  • Corresponding author: DONG Qiulei, qldong@nlpr.ia.ac.cn
  • Received Date: 2021-11-11
  • Accepted Date: 2022-02-14
  • Rev Recd Date: 2022-01-28
    • Available Online: 2022-02-16
  • Publish Date: 2022-02-25
    Abstract
  • This study proposes a progressive building facade detection method based on structure priors to effectively detect building facades from massive array InSAR spatial points with noise. First, the proposed method projects the initial array of InSAR three-Dimensional (3D) points on the ground to produce connected regions that correspond to building facades and then progressively detects potential line segments in each connected region under the guidance of structure priors. Furthermore, the proposed method generates building facades according to the detected line segments and their corresponding 3D points. In this process, the line segment detection space of the current connected region is constructed based on line segments detected in its neighboring connected regions, thereby improving the overall efficiency and reliability of the current line segment detection. Experimental results confirm that the proposed method can efficiently produce more reliable building facades from a massive array of InSAR 3D points with noise, overcoming several difficulties (such as low efficiency and inferior reliability) encountered in traditional multi-model fitting methods.

     

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