Resolution enhancement of multilook imagery for the multispectral thermal imager

Amy E. Galbraith, James Theiler, Kurtis J. Thome, Richard W. Ziolkowski

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


This paper studies the feasibility of enhancing the spatial resolution of multilook Multispectral Thermal Imager (MTI) imagery using an iterative resolution enhancement algorithm known as Projection Onto Convex Sets (POCS). A multiangle satellite image modeling tool is implemented, and simulated multilook MTI imagery is formed to test the resolution enhancement algorithm. Experiments are done to determine the optimal configuration and number of multiangle low-resolution images needed for a quantitative improvement in the spatial resolution of the high-resolution estimate. The issues of atmospheric path radiance and directional reflectance variations are explored to determine their effect on the resolution enhancement performance.

Original languageEnglish (US)
Pages (from-to)1964-1976
Number of pages13
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number9
StatePublished - Sep 2005
Externally publishedYes


  • Image enhancement
  • Image reconstruction
  • Image registration
  • Image resolution
  • Image restoration
  • Image sampling
  • Image sensors
  • Satellite applications

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences


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