Turbulence strength estimation from an arbitrary set of atmospherically degraded images

Steve Zamek, Yitzhak Yitzhaky

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


In remote sensing, atmospheric turbulence and aerosols usually limit the image quality. For many practical cases, turbulence is shown to be dominant, especially for horizontal close-to-earth imaging in hot environments. In a horizontal long-range imaging, it is usually impractical to calculate path-averaged refractive index structure constant Cn2 (which characterizes the turbulence strength) with conventional equipment. We propose a method for estimating Cn2 from the available atmospherically degraded video sequence by calculating temporal intensity fluctuations in spatially high variance areas. Experimental comparison with Cn2 measurements using a scintillometer shows reliable estimation results.

Original languageEnglish
Pages (from-to)3106-3113
Number of pages8
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Issue number12
StatePublished - 1 Jan 2006

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition


Dive into the research topics of 'Turbulence strength estimation from an arbitrary set of atmospherically degraded images'. Together they form a unique fingerprint.

Cite this