Study on destriping methods of OMIS images

Wei Wei Chang, Lei Guo, Kun Liu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The main causes and characteristics of stripe noises in OMIS hyperspectral data were analyzed. Based on the previous analysis, two improved destriping methods of OMIS images were developed. The result of comparing the tested images with data indicates that both the new methods could effectively remove stripe noises and preserve the textures and details of the OMIS images better than the existed methods.

Original languageEnglish
Pages (from-to)2148-2152
Number of pages5
JournalGuangzi Xuebao/Acta Photonica Sinica
Volume36
Issue number11
StatePublished - Nov 2007

Keywords

  • Destriping
  • Moment matching
  • OMIS
  • Wavelet transform

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