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[Application of dark pixels atmospheric correction algorithm to Hyperion imageries].

Qiu-gen Zheng1, Wen-ting Quan

  • 1College of Ocean Sciences, China University of Geosciences, Beijing, China. 342619668@qq.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
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Atmospheric correction is crucial for remote sensing. The dark pixel atmospheric correction algorithm (DPACA) effectively removes atmospheric influences from Hyperion sensor data, improving image quality.

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Area of Science:

  • Remote Sensing
  • Atmospheric Optics
  • Spectroscopy

Context:

  • Atmospheric interference significantly impacts quantitative remote sensing analysis.
  • Accurate atmospheric correction is vital for deriving meaningful geophysical information.
  • The Hyperion sensor provides multispectral data susceptible to atmospheric effects.

Purpose:

  • To apply the dark pixel atmospheric correction algorithm (DPACA) for atmospheric correction of Hyperion imagery.
  • To investigate the relationship between atmospheric optical depth and sensor wavelength.
  • To assess the effectiveness of DPACA in improving remote sensing data quality.

Summary:

  • The study utilized the IDL platform and DPACA to extract atmospheric optical depth and correct Hyperion sensor data.
  • A negative linear relationship was observed between optical depth and central wavelength (R=0.9123).
  • DPACA significantly improved Hyperion image quality, especially in blue and green bands, by addressing atmospheric effects.

Impact:

  • The DPACA is a viable method for atmospheric correction of Hyperion data, particularly when vertical atmospheric profile data is unavailable.
  • Improved remote sensing data enhances the accurate analysis of inherent and apparent optical properties.
  • This research contributes to more reliable quantitative analysis in remote sensing applications.