Tracking and Neuromorphic Optical Imaging of Randomly Moving Targets through Strongly Scattering Media

We demonstrate an end-to-end neuromorphic approach which combines event-sensing cameras with deep learning spiking neural network computation to track and reconstruct videos of randomly moving targets in dense scattering media invisible to naked eye.

Authors

A. V. Nurmikko (ORCID: https://orcid.org/0000-0001-9668-2066)
Ning Zhang (ORCID: https://orcid.org/0000-0002-8781-4925)

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.1364/cleo_at.2025.aa137_6
Primary Topic: Random lasers and scattering media
Type: article
Field-Weighted Citation Impact: 0.00

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article

Tracking and Neuromorphic Optical Imaging of Randomly Moving Targets through Strongly Scattering Media

A. V. Nurmikko, Ning Zhang

Jan 1, 2025

Random lasers and scattering media

article

Tracking and Neuromorphic Optical Imaging of Randomly Moving Targets through Strongly Scattering Media

A. V. Nurmikko, Ning Zhang

January 1, 2025article en

Abstract

Openalex Percentile: Top 80%

Random lasers and scattering media

DOI Source OpenAlex

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Tracking and Neuromorphic Optical Imaging of Randomly Moving Targets through Strongly Scattering Media — A. V. Nurmikko, Ning Zhang · (2025) | TGRS Research Map | TGRS