Journal of South China University of Technology (Natural Science Edition) ›› 2017, Vol. 45 ›› Issue (3): 29-34.doi: 10.3969/j.issn.1000-565X.2017.03.004

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

LS-ORTSEG Method for Segmentation of Buildings in Digital Surface Model

YAN Yi-ming ZHAO Chun-hui CUI Ying   

  1. College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,Heilongjiang,China
  • Received:2016-05-25 Revised:2016-09-06 Online:2017-03-25 Published:2017-02-02
  • Contact: 闫奕名( 1982-) ，男，博士，讲师，主要从事遥感图像处理研究． E-mail:yanyiming@hrbeu.edu.cn
  • About author:闫奕名( 1982-) ，男，博士，讲师，主要从事遥感图像处理研究．
  • Supported by:
    Supported by the National Natural Science Foundation of China for Young Scientists( 61601135) and the Key Program of the Natural Science Foundation of Heilongjiang Province of China( ZD201216)

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Abstract:

Segmenting buildings in digital surface model ( DSM) is a key technique of 3D city reconstruction based on remote sensing data.In order to overcome the poor performance caused by the negative interference of topographic relief and edge in the segmentation of buildings in DSM,a hierarchical segmentation method named LSORTSEG is proposed in light of both level-set ( LS) method and the model of occlusions of random texture ( ORTSEG) .In this method,firstly,the potential building regions are extracted roughly by means of the LS method.Secondly,the regions are expanded properly.Then,the expanded regions are segmented by using the ORTSEG for an optimized segmentation of buildings.Experimental results show that the proposed method can improve the segmentation accuracy of buildings effectively.

Key words: digital surface model, building segmentation, level-set, multiple random texture model

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