Fuzzy super resolution mapping based on Markov random fields

V.A. Tolpekin, N.A.S. Hamm

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

10 Citations (Scopus)
1 Downloads (Pure)

Abstract

Recent research has used Markov Random Fields (MRF) as a method for super-resolution mapping (SRM). This paper investigated the per-pixel uncertainty associated with MRF based SRM. This provided insight into the spatial distribution of uncertainty associated with SRM. Furthermore, the map of per-pixel uncertainty clearly shows the boundary between land-cover classes and this may provide an input for image segmentation. The insight provided by the per-pixel uncertainty together with the class boundaries will be valuable for development of the MRF approach to super-resolution mapping.
Original languageEnglish
Title of host publicationProceedings of IGARSS 2008
Subtitle of host publicationInternational Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
PagesII-875 - II-878
ISBN (Electronic)978-1-4244-2808-3 (CD)
ISBN (Print)978-1-4244-2807-6
DOIs
Publication statusPublished - 2008

Publication series

NameIEEE International Geoscience and Remote Sensing Symposium (IGARRS)
PublisherIEEE
Volume2008
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Keywords

  • EOS
  • ADLIB-ART-1607

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