Super-resolution mapping of lakes from imagery with a coarse spatial and fine temporal resolution

Anuar Mikdad Muad, Giles M. Foody

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

The potential of super-resolution mapping (SRM) techniques for the representation of lakes was evaluated using both an established and a newly proposed method. Both super-resolution mapping techniques were typically able to provide representations that were visually and quantitatively more realistic than standard hard classifications. The new technique was able to represent more small lakes than the established technique. The results also demonstrate the value of using a time series of images as input to the super-resolution analysis, enabling researchers to usefully exploit the typically fine temporal resolution of coarse spatial resolution sensors for land cover mapping.

Original languageEnglish
Pages (from-to)79-91
Number of pages13
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume15
Issue number1
DOIs
Publication statusPublished - 2012
Externally publishedYes

Fingerprint

Lakes
imagery
lake
Time series
land cover
spatial resolution
Sensors
time series
sensor

Keywords

  • 2D multiple notch filter
  • Halftoning
  • Mixed pixel
  • Object based morphology
  • Resolution enhancement

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Earth-Surface Processes
  • Global and Planetary Change
  • Management, Monitoring, Policy and Law

Cite this

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