Striping noise detection and correction of remote sensing images

Fuan Tsai, Walter W. Chen

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

Abstract

This paper presents an image destriping system for correcting striping noise of remote-sensing images. The developed system identifies stripe positions based on edge-detection and line-tracing algorithms. Pixels not affected by striping are used as control points to construct cubic spline functions describing spatial gray level distributions of an image. Detected stripes are corrected by replacing the pixels with more reasonable gray values computed from constructed spline functions. Gray values of clean pixels not affected by stripes are not altered to preserve data genuineness. Several experimental results demonstrate that the developed system can correctly detect stripes in remote-sensing images and effectively repair them. Evaluations of the results based on an quantitative image quality index indicate that the image quality has been improved significantly after destriping. The destriped images are not only visually more plausible but also can provide better interpretability and are more suitable for computerized analysis.

Original languageEnglish
Article number4683341
Pages (from-to)4122-4131
Number of pages10
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume46
Issue number12
DOIs
StatePublished - Dec 2008

Keywords

  • Image processing
  • Image restoration
  • Index Terms-Image destriping
  • Noise
  • Noise removal
  • Remote sensing
  • Spline
  • Striping noise

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