Research on target recognition based on optical neural networks

Yixuan Zhang; Yuxiang Feng; Hong Chang

doi:10.1117/12.3029772

21 June 2024 Research on target recognition based on optical neural networks

Yixuan Zhang, Yuxiang Feng, Hong Chang

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131673Q (2024) https://doi.org/10.1117/12.3029772
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

Due to the advantages of high throughput, low latency, and low power consumption, optical neural networks hold great promise in addressing the challenges of energy consumption and computational efficiency faced by current artificial intelligence technologies. Consequently, they have become a research hotspot in both academia and industry in recent years. The goal of optical neural networks is to use photons as the physical carrier to construct the basic computational units of artificial neural network algorithms, thus achieving high-performance novel computing architectures and applying them to solve practical problems. This paper introduces the working principles and characteristics of optical neural networks and discusses relevant research on target recognition based on optical neural network architectures.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yixuan Zhang, Yuxiang Feng, and Hong Chang "Research on target recognition based on optical neural networks", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131673Q (21 June 2024); https://doi.org/10.1117/12.3029772

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