Short-time Fourier neural operator for self-extraction of data feature in distributed acoustic sensing
Event recognition in distributed acoustic sensing (DAS) applications faces challenges due to intense environmental noise and complex signal features. We propose short-time Fourier neural operator to self extract the temporal and frequency domain features of DAS data for event recognition performance enhancement.
Authors
- Jiageng Chen (ORCID: https://orcid.org/0000-0001-9033-2575)
- Zuyuan He (ORCID: https://orcid.org/0000-0002-7499-834X)
- Yangyang Wan (ORCID: https://orcid.org/0000-0001-7780-4937)
- Haotian Wang (ORCID: https://orcid.org/0009-0005-7621-9724)
Institutions
- Shanghai Jiao Tong University (CN)
Publication Details
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1117/12.3061282
- Primary Topic
- Flow Measurement and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00