Extracting buildings from airborne laser scanning point clouds using a marked point process

Bisheng Yang, Wenxue Xu, Wei Yao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

Automatic extraction of buildings from airborne laser scanning (ALS) point clouds is essential for 3D building reconstruction. This paper presents a two-part approach for extracting buildings from ALS data. First, building objects are extracted from ALS data by a marked point process using the Gibbs energy model of buildings and sampled by a reversible jump Markov chain Monte Carlo algorithm. Second, a refinement operation is performed to filter the non-building points and false building objects before extracting buildings from the detected building objects. Experimental results and evaluation using ISPRS benchmark data-sets showed the robustness of the proposed method.

Original languageEnglish
Pages (from-to)555-574
Number of pages20
JournalGIScience and Remote Sensing
Volume51
Issue number5
DOIs
Publication statusPublished - 1 Sep 2014
Externally publishedYes

Keywords

  • airborne laser scanning
  • building extraction
  • marked point process
  • point clouds filtering

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this