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A Hierarchical Building Segmentation in Digital Surface Models for 3D Reconstruction.

Yiming Yan1, Fengjiao Gao2, Shupei Deng3

  • 1Institute of Information Technology, Harbin Engineering University, Harbin 150001, China. yanyiming@hrbeu.edu.cn.

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|January 27, 2017
PubMed
Summary

This study introduces a novel model-free framework for 3D building reconstruction using digital surface models (DSM) and texture images. The method accurately segments buildings and generates facades, offering improved visualization, especially with UAV imagery.

Keywords:
3D reconstructionbuilding segmentationdigital surface modelremote sensing

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Area of Science:

  • Computer Vision
  • Photogrammetry
  • Remote Sensing

Background:

  • Traditional 3D building reconstruction relies heavily on pre-existing models, which are often incomplete for diverse urban environments.
  • Existing segmentation methods struggle with terrain variations and parameter selection, hindering accurate building extraction from Digital Surface Models (DSM).

Purpose of the Study:

  • To propose a novel, model-free framework for 3D building reconstruction.
  • To develop an accurate building segmentation method for DSM data.
  • To generate realistic building facades using texture images and roof contours.

Main Methods:

  • A hierarchical segmentation approach combining level-set methods and an 'occlusions of random textures model' for building extraction from DSM.
  • A roof-contour guided interpolation technique for generating building facades, integrated with corresponding texture images.
  • Comparative analysis of 3D reconstruction results using airborne-like and satellite imagery.

Main Results:

  • The proposed segmentation method demonstrates robust performance in extracting buildings from DSM.
  • The model-free framework facilitates straightforward 3D reconstruction.
  • Airborne-like imagery yields superior visualization results, with potential for replacement by Unmanned Aerial Vehicle (UAV) imagery.

Conclusions:

  • The developed framework offers an effective solution for model-free 3D building reconstruction.
  • The segmentation technique overcomes limitations of existing methods, improving accuracy and ease of use.
  • The approach shows promise for enhanced 3D city modeling, particularly with high-resolution UAV data.