<p dir="ltr">Polarization and spectral imaging technology has wide application prospects and economic value in environmental detection, target recognition, remote sensing detection and industrial detection. However, the acquisition of hyperspectral or spectro-polarimetric imaging data is difficult and expensive in general. This study aims to develop a synthetic thermal imaging dataset using computer simulation. The study seeks to explore the simulation performance of Monte-Carlo path tracing algorithm in the fields of spectroscopy and thermal imaging. The goal is to provide a novel tool for effective and accurate dataset generation for thermal imaging neural networks training.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/24291184 |
| Date | 27 November 2023 |
| Creators | Junjie Wang (17130997) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Polarization_and_Hyperspectral_Imaging_for_Synthetic_Scene_Rendering/24291184 |
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