Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Improvement of building extraction using decision fusion of locally and globally enhanced IKONOS images
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
2008 (English)In: Proceedings of SPIE - The International Society for Optical Engineering, 2008Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a fully automated algorithm for building extraction from remote sensing IKONOS images is presented. Local and global enhancement of an original image improves the rate of building detection in some cases. However, some undesirable effects could occur due to image enhancement. As a result the Bayesian classification method which has been previously used could result in errors. To deal with such problems, decision fusion is used together with a shadow-based verification step to achieve a better result from locally and globally enhanced classified images. Experimental results justify the efficiency of the proposed method in dealing with the problem of building extraction in IKONOS images.

Place, publisher, year, edition, pages
2008.
Series
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X ; 7266
Keyword [en]
Bayesian discriminator, Histogram equalization, Image laplacian, Unsharp mask filter, Automated algorithms, Bayesian classifications, Building detections, Building extractions, Decision fusions, Global enhancements, Ikonos images, Original images, Undesirable effects, Bayesian networks, Buildings, Discriminators, Laplace transforms, Mining equipment, Remote sensing, Image enhancement
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-154161DOI: 10.1117/12.807592Scopus ID: 2-s2.0-62449160292OAI: oai:DiVA.org:kth-154161DiVA: diva2:756216
Conference
Optomechatronic Technologies 2008, 17 November 2008 through 19 November 2008, San Diego, CA
Note

QC 20141016

Available from: 2014-10-16 Created: 2014-10-14 Last updated: 2014-10-16Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Bahadorian, Mitra
By organisation
Numerical Analysis and Computer Science, NADA
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 13 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf