Detection of Water Pollution Using Hyperspectral Imaging
This study employed novel hyperspectral imaging (HSI) algorithm to quantify water contaminants through spectral analysis of biological oxygen demand (BOD) images. Two models, HSI-3DCNN and RGB-3DCNN, are trained, with HSI-3DCNN demonstrating a 4% accuracy increase.
Authors
- Yu-Ming Tsao
- Hôǹg Thái Nguyêñ (ORCID: https://orcid.org/0000-0002-1666-0666)
- Arvind Mukundan (ORCID: https://orcid.org/0000-0002-7741-3722)
- Riya Karmakar (ORCID: https://orcid.org/0000-0003-0762-6770)
- Hsiang-Wang Cheng
- Song-Cun Lu
Institutions
- National Chung Cheng University (TW)
Publication Details
- Published
- 2024-08-04
- DOI
- https://doi.org/10.1109/cleo-pr60912.2024.10676418
- Citations
- 1
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.29