Target-Dependent Chemical Species Tomography with Hybrid Meshing of Sensing Regions
Rui Zhang, Jingjing Si, Godwin Enemali, Yong Bao, Chang Liu

TL;DR
This paper introduces a hybrid-size meshing scheme for Chemical Species Tomography that improves imaging accuracy by adaptively refining the mesh in the target region, enhancing practical applicability in industrial combustion analysis.
Contribution
The paper presents a novel hybrid meshing approach that combines dense and sparse pixels in CST, reducing ill-posedness and improving image resolution over traditional uniform meshing methods.
Findings
Hybrid meshing improves image accuracy and detail.
Numerical and experimental validation confirms effectiveness.
Enhanced characterization of combustion zones in practical scenarios.
Abstract
This paper develops a hybrid-size meshing scheme for target-dependent imaging in Chemical Species Tomography (CST). The traditional implementation of CST generally places the target field in the central region of laser sensing, the so-called Region of Interest (RoI), with uniform-size meshes. The centre of the RoI locates at the midpoint between the laser emitters and receivers, while the size of the RoI is empirically determined by the optical layout. A too small RoI cannot make the most use of laser beams, while a too large one leads to much severer rank deficiency in CST. To solve the above-mentioned issues, we introduce hybrid-size meshing, for the first time, by reforming the density of the pixels in the entire sensing region of CST. This development alleviates the ill-posedness of the CST inverse problem by detailing the target flow field with dense pixels in the RoI and fully…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectrical and Bioimpedance Tomography · Advanced X-ray and CT Imaging · Atmospheric and Environmental Gas Dynamics
