一种玉米穗水分分布的微波近场成像方法、装置及介质
By using microwave near-field imaging, multi-frequency microwave signals and multi-polarization technology, the geometric contour and dielectric constant distribution of corn ears are inverted, solving the problems of low resolution and difficulty in layering in traditional methods for corn ear moisture detection, and realizing non-destructive and high-precision detection of moisture inside corn ears.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA AGRI UNIV
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing detection methods cannot obtain the moisture distribution inside corn ears in a non-destructive, layered, and accurate manner. Traditional far-field microwave imaging methods are limited by the Rayleigh diffraction limit, resulting in low resolution, severe multipath effects, and large computational load for inversion.
By employing a microwave near-field imaging method, which utilizes multi-frequency microwave signals to receive evanescent wave components, and combining multi-polarization technology with nonlinear optimization algorithms, the geometric contour and dielectric constant distribution of corn ears are inverted to achieve layered imaging.
It achieves non-destructive, layered, and high-precision detection of moisture inside corn ears, breaking through the diffraction limit and improving spatial resolution and imaging accuracy.
Smart Images
Figure CN122409708A_ABST