Universal calibration transfer method for Laser-Induced breakdown spectroscopy of mineral detection based on a lightweight deep learning model

Key Points

• Improving mineral detection accuracy through a novel calibration transfer method is crucial in spectroscopy.
• The proposed lightweight deep learning model achieves significant enhancements, outperforming traditional techniques.
• Observational analysis leveraging laser-induced breakdown spectroscopy shows promising results for mineral detection.
• Such advancements may enable broader applications in geosciences and materials analysis.