Laser & Optoelectronics Progress, Volume. 55, Issue 4, 042803(2018)

Building Extraction Algorithm by Fusing Spectral and Geometrical Features

Manyun He1, Yinglei Cheng1、*, Xiangjiang Liao1, and Zhongyang Zhao1
Author Affiliations
  • 1 College of Information and Navigation, Air Force Engineering University, Xi'an, Shaanxi 710077, China
  • 1 Unit of 94816, Fuzhou, Fujian 350002, China
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    Figures & Tables(8)
    Algorithm flow chart
    Transmitting relationship in tensor voting
    Aerial image of Area2
    LiDAR data of Area2
    (a) Traditional tensor voting results and (b) tensor voting results of fusing spectral feature
    Point cloud classification results of (a) traditional tensor voting and (b) improved tensor voting
    Comparison of importance index of features
    • Table 1. Accuracy analysis

      View table

      Table 1. Accuracy analysis

      RankAlgorithmNumber ofbuildingsI errorII errorQuality /%
      FalseCorrectness /%OmissionCompleteness /%
      ObjectProposed140100192.8692.86
      Traditional0100285.7185.71
      AreaProposed2426044498.1798395.9594.26
      Traditional70997.07353785.4283.27
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    Manyun He, Yinglei Cheng, Xiangjiang Liao, Zhongyang Zhao. Building Extraction Algorithm by Fusing Spectral and Geometrical Features[J]. Laser & Optoelectronics Progress, 2018, 55(4): 042803

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Oct. 9, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Yinglei Cheng (ylcheng718@163.com)

    DOI:10.3788/LOP55.042803

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