Deep learning and superoscillatory speckles empowered multimode
This work introduces an in-situ nano-displacement measurement system via a multimode fiber probe with superoscillatory speckles and deep learning.
While most Rayleigh based fiber sensors use single mode fiber, multimode fiber has the potential to provide lower noise due to the higher capture fraction of Rayleigh scattered light, higher non-linea...
HOME / Multimode fiber speckle sensing - Budowa Silesia Photonics
Multimode fiber speckle sensing - Budowa Silesia Photonics [PDF]
This work introduces an in-situ nano-displacement measurement system via a multimode fiber probe with superoscillatory speckles and deep learning.
Specifically, we propose a speckle imaging model that consists of a lightweight encoder-decoder architecture and a weighted loss function, enabling high-fidelity image transmission through
【AIGC Short Abstract】: This paper presents a high-performance fiber specklegram sensing method using digital aperture filtering (DAF) to enhance speckle correlation.
This study has been part of a long-term effort within our group to understand how speckle patterns —those seemingly random intensity patterns produced by multimode fibers—can be transformed into
Fiber specklegram sensors (FSS) are a kind of sensor based on the intermodal interference of multimode optical fibers (MMFs) . When coherent light is incident into a multimode
Here, we show that this diversity of modes can also be used to perform quantitative strain sensing by measuring the amplitude of the Rayleigh backscattered speckle pattern in a multimode fiber.
In this work, we report an innovative interrogation scheme for speckle-based optical fiber sensors using event-based sensors (EVS) together with a tensor-based methodology capable of separating and
Fiber specklegram sensors are widely studied for their high sensitivity and compact design. However, as the number of modes in the fiber increased, the speckle sensitivity heightened
A multimode fiber (MMF) speckle sensor based on deep learning is demonstrated for sensing multi-physical quantity at different position. The mode fields at the
To address this issue, we propose a novel approach to recognize multi-position load using an MMF specklegram sensor, supported by theoretical analysis and experimental verification.