Multispectral Imaging With Extended-Wavelength Light-Source Sensing
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Solution Overview
Problem
The challenge of equalizing spectral characteristics between multispectral cameras and light source spectral sensors is significant due to differences in physical structure, individual variations, and other factors, particularly when measuring multiple wavelengths, which affects the accuracy of spectral reflectance measurements.
Innovation Solution
An imaging device incorporating a light source spectral sensor capable of obtaining a spectrum of more wavelengths than the multispectral camera, utilizing a spectral wavelength variable type sensor and surface plasmon resonance principle, along with an arithmetic section to calculate spectral reflectance, correct for temperature differences, and account for light direction and type (direct vs. scattered) to enhance measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectral characteristics equalization is attempted between multispectral camera and light source spectral sensor, then measurement accuracy improves, but device complexity increases due to structural differences and individual variations
Solution Approach 1:
The patent introduces a spectral sensitivity correction table as an intermediary data structure that stores pre-measured spectral sensitivity information for both the multispectral camera and light source spectral sensor. This correction table serves as a mediator that enables accurate spectral reflectance calculation without requiring direct structural modification or complex real-time equalization processes, thereby improving measurement accuracy while managing device complexity.
2Adaptability or versatility
If the light source spectral sensor measures more wavelengths than the multispectral camera, then spectral coverage improves, but data processing complexity increases
Solution Approach 1:
The patent extracts and utilizes only the wavelength portions from the light source spectral sensor data that correspond to the multispectral camera's measurement wavelengths. By selecting and extracting the relevant wavelength data portions rather than processing all available wavelength data, the system achieves comprehensive spectral coverage while simplifying the data processing requirements.
3Ease of manufacture
If spectral sensitivity varies due to individual variations in mass production, then manufacturing scalability improves, but measurement consistency deteriorates
Solution Approach 1:
The patent performs preliminary measurement and storage of spectral sensitivity characteristics for each individual device during or after manufacturing. By pre-measuring and storing the spectral sensitivity information in correction tables before actual spectral reflectance measurements are performed, the system accommodates individual variations from mass production while ensuring measurement consistency through device-specific correction data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This configuration enables accurate equalization of spectral characteristics, allowing for precise calculation of spectral reflectance and evaluation indices, such as vegetation health, by correcting for temperature and light direction, thereby improving measurement accuracy and reliability.
Implementation Method 1
utilizing a spectral wavelength variable type sensor and surface plasmon resonance principle
Data Source
AI summary
An imaging device according to the present technology includes a light source spectral sensor that obtains a wavelength spectrum for light coming from a light source illuminating a measurement target, to detect light for each wavelength, and a multispectral camera that performs wavelength spectral imaging of the measurement target. The light source spectral sensor is capable of obtaining a spectrum of more wavelengths than those of the multispectral camera.