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This study introduces a novel atmospheric refraction error compensation model for aircraft ground object detection. The model accurately corrects elevation angle errors, enhancing target identification and positioning precision.

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Area of Science:

  • Atmospheric optics
  • Geodesy
  • Remote sensing

Background:

  • Atmospheric refraction significantly impacts the accuracy of airborne observations.
  • Precise ground object detection requires robust compensation for optical distortions.

Purpose of the Study:

  • To develop and validate a refraction error compensation model for airborne ground object detection.
  • To improve the accuracy of target identification and positioning by correcting elevation angle errors.

Main Methods:

  • Stratification of the atmosphere between aircraft and ground objects using 100-meter intervals.
  • Simulation of atmospheric refractive index profiles using the Hopfield and e-index models.
  • Application of Snell's law to derive true elevation angles based on flight parameters and atmospheric data.

Main Results:

  • Establishment of an elevation angle error model to quantify atmospheric refraction effects.
  • Demonstrated correction of elevation angle errors caused by atmospheric refraction.
  • Improved precision in identifying and positioning ground targets observed from aircraft.

Conclusions:

  • The developed model effectively compensates for atmospheric refraction errors in airborne observations.
  • Accurate atmospheric refractive index profiling is crucial for precise elevation angle determination.
  • The model enhances the reliability of remote sensing and surveillance applications.