Atmospheric turbulence characterization using a neuromorphic camera

Ernst Polnau; Mikhail A. Vorontsov

doi:10.1117/12.2618894

30 May 2022 Atmospheric turbulence characterization using a neuromorphic camera

Ernst Polnau, Mikhail A. Vorontsov

Proceedings Volume 12091, Image Sensing Technologies: Materials, Devices, Systems, and Applications IX; 1209109 (2022) https://doi.org/10.1117/12.2618894
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

The capabilities of neuromorphic (event) based sensors for atmospheric turbulence characterization and refractive index structure parameter ( C²_n ) sensing are investigated. The experimental setup used a system that consisted of a telescope with an attached neuromorphic camera that was imaging features of a corner of an installation on the roof of a building in 7 km distance. Synchronously with recording of the event stream from neuromorphic sensor the refractive index structure parameter was measured with a commercial scintillometer along the same propagation path. A processing technique was developed to compare the distribution-width of events generated by the edges of the imaged corner within a given time-span to the measured strength of turbulence from the scintillometer. Spatio-temporal analysis was applied to show the possibility to detect influence of wind flow in the of recorded event stream data.

Conference Presentation

Citation Download Citation

Ernst Polnau and Mikhail A. Vorontsov "Atmospheric turbulence characterization using a neuromorphic camera", Proc. SPIE 12091, Image Sensing Technologies: Materials, Devices, Systems, and Applications IX, 1209109 (30 May 2022); https://doi.org/10.1117/12.2618894

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