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Published on: March 28, 2011
3D-reconstructions for the estimation of ice particle's volume using a two-views interferometric out-of-focus imaging
M Brunel1, B Delestre1, M Talbi1
1UMR CNRS 6614 CORIA, Université de Rouen, Avenue de l'Université, Saint-Etienne du Rouvray 76801, France.
The Review of Scientific Instruments
|June 3, 2019
Summary
Estimating ice particle volume using interferometric imaging is challenging. Particle shape reconstruction introduces significant errors, but image acquisition errors have a greater impact on volume estimation accuracy.
Area of Science:
- Atmospheric science
- Optical physics
- Aerosol science
Background:
- Accurate ice crystal characterization is crucial for airborne research and aviation.
- Interferometric out-of-focus imaging offers a promising method for particle analysis.
Purpose of the Study:
- To assess the impact of 3D shape reconstruction on ice particle volume estimation.
- To quantify the error introduced by shape assumptions in interferometric imaging.
Main Methods:
- Utilizing a pair of interferometric images from perpendicular viewpoints.
- Estimating ice particle volume based on 2D autocorrelation derived from images.
- Analyzing the influence of assumed particle shapes on volume calculations.
Main Results:
- The relative error in volume estimation reached approximately 30%, contingent on the initial 3D shape assumption.
- Different particle shapes can yield similar interferometric images due to 2D autocorrelation properties.
- Errors from image acquisition processes were found to be more significant than those from shape reconstruction choices.
Conclusions:
- While 3D shape reconstruction impacts ice particle volume estimation, it is less critical than image acquisition errors.
- Further research should focus on mitigating errors associated with the interferometric image acquisition process for improved accuracy.

