Building extraction from google earth images

Jifang Xing, Zhang Ruixi, Remmy Zen, Dewa Made Sri Arsa, Ismail Khalil, Stephane Bressan

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)

Abstract

Building extraction is a component of many environmental modelling and data analysis applications. It is however data and knowledge intensive. We investigate the use of publicly available data from Google Earth and OpenStreetMap and of neural networks for this task. We evaluate different candidate algorithms for the case of building extraction on the island of Bali.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
Subtitle of host publication21st International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2019 - Proceedings
EditorsMaria Indrawan-Santiago, Eric Pardede, Ivan Luiz Salvadori, Matthias Steinbauer, Ismail Khalil, Gabriele Anderst-Kotsis
Place of PublicationNew York USA
PublisherAssociation for Computing Machinery (ACM)
Pages502-511
Number of pages10
ISBN (Electronic)9781450371797
DOIs
Publication statusPublished - 2 Dec 2019
Externally publishedYes
EventInformation Integration and Web-Based Applications and Services 2019 - Munich, Germany
Duration: 2 Dec 20194 Dec 2019
Conference number: 21st
https://dl.acm.org/doi/proceedings/10.1145/3366030

Publication series

NameACM International Conference Proceeding Series

Conference

ConferenceInformation Integration and Web-Based Applications and Services 2019
Abbreviated titleiiWAS 2019
Country/TerritoryGermany
CityMunich
Period2/12/194/12/19
Internet address

Keywords

  • Building extraction
  • Neural networks
  • Public data sets
  • Remote sensing

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