Field imaging system for hyperspectral data, 3D structural data and panchromatic image data measurement based on...

Area of Science:

• Botanical research
• Imaging technology
• Spectroscopy

Background:

• Hyperspectral and 3D structural data are vital for botanical studies.
• Acquiring these data types separately hinders comprehensive analysis.
• Integrating these datasets presents significant technical challenges.

Purpose of the Study:

• To develop a novel imaging system for simultaneous acquisition of 3D structural and hyperspectral information.
• To enable subpixel-level matching of hyperspectral and 3D data.
• To validate the system's feasibility in field conditions.

Main Methods:

• A dual-path configuration utilizing an acousto-optical tunable filter (AOTF).
• Integration of laser triangulation for 3D data acquisition.
• A geometrical calibration process for precise data alignment.

Main Results:

• Successful simultaneous acquisition of image, structural, and hyperspectral data.
• Achieved subpixel-level matching between 3D structure and hyperspectral information.
• Demonstrated feasibility through field experiments.

Conclusions:

• The proposed dual-path AOTF imaging system effectively integrates 3D structural and hyperspectral data.
• This technology advances botanical research by providing comprehensive, co-registered information.
• The system offers a feasible solution for in-situ 3D hyperspectral data collection.