Fuzzy super resolution mapping based on markov random fields

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

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

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 publication2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
PagesII875-II878
Edition1
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: 6 Jul 200811 Jul 2008

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Number1
Volume2

Conference

Conference2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Country/TerritoryUnited States
CityBoston, MA
Period6/07/0811/07/08

Keywords

  • Fields
  • Image classification
  • Markov random
  • Superresolution mapping
  • Uncertainty

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences (all)

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