Reconstruction for limited-data nonlinear tomographic absorption spectroscopy via deep learning

J Huang, H Liu, J Dai, W Cai - Journal of Quantitative Spectroscopy and …, 2018 - Elsevier
Nonlinear tomographic absorption spectroscopy (NTAS) is an emerging gas sensing
technique for reactive flows that has been proven to be capable of simultaneously imaging …

Multiparameter gas sensing with linear hyperspectral absorption tomography

SJ Grauer, J Emmert, ST Sanders… - Measurement …, 2019 - iopscience.iop.org
Hyperspectral absorption tomography (HAT) reconstructs the distribution of key gas
parameters, including composition, pressure, and temperature, from multi-beam absorbance …

Computational flow visualization to reveal hidden properties of complex flow with optical and computational methods

J Huang, H Liu, S Zhu, Y Liu, EY Lam, W Cai - Cell Reports Physical …, 2024 - cell.com
Flow visualization has long played a crucial role in understanding complex fluid dynamics,
especially reactive flows, but traditional techniques face limitations in realizing the …

Three-dimensional rapid flame chemiluminescence tomography via deep learning

Y **, W Zhang, Y Song, X Qu, Z Li, Y Ji, A He - Optics express, 2019 - opg.optica.org
Flame chemiluminescence tomography (FCT) plays an important role in combustion
monitoring and diagnostics due to the easy implementation and non-intrusion. However, on …

A quality-hierarchical temperature imaging network for TDLAS tomography

J Si, G Fu, Y Cheng, R Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Tunable diode laser absorption spectroscopy (TDLAS) tomography is a well-established
combustion diagnostic technique for imaging 2-D cross-sectional distributions of critical flow …

Super-resolution computed tomography imaging spectrometry

L Yuan, Q Song, H Liu, K Heggarty, W Cai - Photonics research, 2023 - opg.optica.org
Computed tomography imaging spectrometry (CTIS) is a snapshot spectral imaging
technique that relies on a limited number of projections of the target data cube (2D spatial …

Compressing convolutional neural networks using POD for the reconstruction of nonlinear tomographic absorption spectroscopy

J Huang, J Zhao, W Cai - Computer Physics Communications, 2019 - Elsevier
Nonlinear tomographic absorption spectroscopy (NTAS) is an imaging technique that
inherits the advantages of both absorption spectroscopy and tomography such as species …

[HTML][HTML] Deep learning algorithms for temperature field reconstruction of nonlinear tomographic absorption spectroscopy

A Deng, J Huang, H Liu, W Cai - Measurement: Sensors, 2020 - Elsevier
Nonlinear tomography can be combined with line-of-sight measurement techniques and
take the full advantage of the nonlinear relationship between the target fields to be …

Hierarchical temperature imaging using pseudoinversed convolutional neural network aided TDLAS tomography

J Si, G Li, Y Cheng, R Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As an in situ combustion diagnostic tool, tunable diode laser absorption spectroscopy
(TDLAS) tomography has been widely used for imaging 2-D temperature distributions in …

Untrained neural network for linear tomographic absorption spectroscopy

JR Chen, SJ Xu, HC Liu, JQ Huang, YZ Liu… - Science China …, 2024 - Springer
Linear tomographic absorption spectroscopy (LTAS) is a non-destructive diagnostic
technique widely employed for gas sensing. The inverse problem of LTAS represents a …