Effects of land cover class spectral separability and parameter estimation in super resolution mapping of an ASTER image

V.A. Tolpekin, A. Stein

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Abstract

This study applies the effects of class separability in Markov Random Field based
super resolution mapping. After briefly discussing the theory, we apply it to an ASTER
image that we validate with a Quickbird image. The MRF smoothness parameter value
is accurately predicted by our model.
Original languageEnglish
Title of host publicationACRS 2008
Subtitle of host publicationProceedings of the 29th Asian Conference on Remote Sensing, 10-14 November 2008, Colombo, Sri Lanka
Place of PublicationColombo, Sri Lanka
PublisherAsian Association on Remote Sensing
Number of pages6
ISBN (Print)9781615676156
Publication statusPublished - 2008

Keywords

  • EOS
  • ADLIB-ART-1592

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