Wavelength Pair Selection for Multispectral Object Discrimination
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Solution Overview
Problem
Existing hyperspectral cameras face challenges in efficiently selecting optimal wavelength combinations for detecting specific objects, particularly when objects have similar spectral reflectance, making it difficult to discriminate between them.
Innovation Solution
A data processing apparatus and method that utilizes a two-dimensional map with coordinate axes representing first and second wavelengths to identify suitable wavelength combinations by analyzing intensity characteristics, enabling precise discrimination of objects through multispectral imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hyperspectral camera measures many wavelengths to improve detection capability, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the necessary wavelength information from the full hyperspectral data by calculating intensity characteristics at specific wavelength pairs. Instead of processing all wavelengths, the system identifies and uses only the critical wavelength combinations that provide discrimination capability, thereby reducing computational complexity while maintaining detection precision.
Solution Approach 2:
The patent transforms the spectral data from a one-dimensional wavelength spectrum into a two-dimensional intensity characteristic map by plotting intensity characteristics against wavelength pairs. This dimensional transformation enables visual identification of optimal wavelength combinations and simplifies the selection process from analyzing numerous wavelengths to identifying specific points on the map.
2Measurement precision
If hyperspectral camera uses many wavelengths to improve discrimination capability, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary calculation of intensity characteristics across all wavelength pairs before actual detection. The intensity characteristic map is pre-computed and stored, allowing rapid wavelength pair selection during actual operation without reprocessing the full spectral data, thus reducing processing time while maintaining discrimination capability.
Solution Approach 2:
The patent calculates intensity characteristics for all possible wavelength pairs (excessive action) to ensure comprehensive coverage, then selects only the necessary pairs for actual detection. This approach ensures that the optimal wavelength pairs are identified without requiring repeated calculations during detection operations.
3Adaptability or versatility
If objects have similar spectral reflectance, then adaptability is improved, but measurement precision deteriorates
Solution Approach 1:
The patent applies local quality by focusing on specific wavelength pairs where intensity characteristics provide maximum discrimination between similar objects. Instead of treating all wavelengths uniformly, the system identifies and emphasizes the local regions in the intensity characteristic map that offer superior discrimination capability for the specific objects being detected.
Solution Approach 2:
The patent changes the parameter from raw spectral reflectance to intensity characteristics derived from wavelength pairs. By transforming the data representation and selecting optimal wavelength combinations, the system enhances the discriminatory power for objects with similar overall spectral reflectance, revealing subtle differences that are not apparent in the full spectrum.
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
Enables accurate detection of objects by specifying optimal wavelength pairs, enhancing discrimination capabilities and improving sensing performance in multispectral imaging systems.
Implementation Method 1
spectral data indicating spectral reflectance of a plurality of subjects
Data Source
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AI summary
Provided are a data processing apparatus, a data processing method, a data processing program, an optical element, an imaging optical system, and an imaging apparatus which can easily specify a wavelength combination of a first wavelength and a second wavelength suitable for detection of a target detection object from among a plurality of subjects including the target detection object. A data processing apparatus includes a processor, in which the processor includes data acquisition processing of acquiring spectral data of a plurality of subjects, calculation processing of calculating intensity characteristics at a first wavelength and a second wavelength selected from wavelength ranges of the acquired spectral data of the plurality of subjects based on a relationship between two wavelengths which are the first wavelength and the second wavelength, data conversion processing of converting the intensity characteristics calculated in the calculation processing into discrimination data of a specific subject for the wavelength range, and output processing of outputting the discrimination data to an outside.