To better grasp the latest research on distributed optical fiber sensing (DOFS), this paper
has screened 861 relevant scientific articles from Web of Science Core Collection database …

In recent years, with the increasing demand for intelligent society, intelligent photonics has
developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …

We propose and experimentally demonstrate a novel interference fading suppression
method for phase-sensitive optical time domain reflectometry (φ-OTDR) using space …

Volcano-seismic signals can help for volcanic hazard estimation and eruption forecasting.
However, the underlying mechanism for their low frequency components is still a matter of …

Thanks to the development of machine learning and deep learning, data-driven pattern
recognition based on neural network is a trend for Φ-OTDR system intrusion event …

Event classification with machine learning methods, has now become the research spotlight
for phase sensitive optical time domain reflectometer (Ф-OTDR, also referred to as DAS or …

Detecting leaks in water networks is a costly challenge. This article introduces a practical
solution: the integration of optical network with water networks for efficient leak detection …

Phase-sensitive optical time-domain reflectometry (Φ-OTDR) based on heterodyne
detection is widely used for its simple structure and high signal-to-noise ratio (SNR) …

Data storage is a problem that cannot be ignored in the long-term monitoring of a phase-
sensitive optical time-domain reflectometry (Φ-OTDR) system. In this paper, we proposed a …

In this paper, the parasitic components (ie, multi-reflections, Rayleigh scattering,
photodetector noise, and phase variations due to external perturbations) are analysed and …