Compressive Hyperspectral Imaging via Integrated Photonics
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Solution Overview
Problem
Existing hyperspectral imaging technologies are bulky, energy-intensive, and require a large number of pixels, making them unsuitable for compact, low-power applications.
Innovation Solution
A compressive hyperspectral imaging system utilizing meta-lenses and arrayed waveguide grating routers (AWGRs) for spatial encoding and dispersion, combined with reconfigurable coded apertures and avalanche photo detectors, to achieve hyperspectral imaging with reduced pixel count and polarization diversity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional hyperspectral imaging instruments are used, then high spectral resolution is achieved, but the system becomes bulky and energy-intensive
Solution Approach 1:
The patent transitions from traditional 2D detector arrays to a 1D detector array combined with wavelength encoding in the spectral dimension. By dispersing light through a diffraction grating and detecting different wavelengths at different positions along a 1D array, the system achieves hyperspectral resolution without requiring a large 2D pixel array, thereby reducing instrument size and weight while maintaining spectral resolution.
Solution Approach 2:
The patent extracts only the essential spectral information by using compressive sensing techniques. Instead of capturing all spatial and spectral data with a full pixel array, the system selectively samples and encodes spectral signatures, removing redundant spatial information and keeping only the critical spectral characteristics needed for identification and analysis.
2Measurement precision
If traditional hyperspectral imaging instruments are used, then complete spectral data is captured, but power consumption increases
Solution Approach 1:
The patent applies compressive sensing to capture only a subset of spectral measurements rather than complete spectral data for every pixel. By using random projection matrices and sparse sampling, the system acquires sufficient spectral information with far fewer measurements than traditional methods, significantly reducing the power required by detectors and associated electronics while maintaining spectral data completeness through computational reconstruction.
Solution Approach 2:
The patent replaces complex mechanical scanning systems with static optical components combined with computational algorithms. Instead of using moving mirrors, tunable filters, or scanning slits that require significant power for actuation and control, the system uses fixed diffraction gratings and coded aperture masks with computational reconstruction, eliminating the need for high-power mechanical subsystems while preserving spectral measurement capabilities.
3Measurement precision
If a large number of pixels are used, then spatial and spectral resolution are improved, but device complexity increases
Solution Approach 1:
The patent encodes spectral information into the spatial dimension by using coded aperture masks and diffraction patterns. Different wavelengths are directed to different spatial locations on the detector through optical encoding, allowing a 1D detector array to capture 3D hyperspectral data (2D spatial + 1D spectral). This dimensional transformation reduces the number of required detector elements from millions in a 2D array to thousands in a 1D array, simplifying device complexity while maintaining resolution.
Solution Approach 2:
The patent makes each detector element in the 1D array multi-functional by designing the optical encoding system so that a single detector pixel receives and integrates information from multiple spatial locations and spectral wavelengths simultaneously. Through coded aperture compression and spectral dispersion, each detector element acts as a multi-channel sensor, reducing the total number of pixels needed while preserving the ability to resolve both spatial and spectral features.
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
The system enables the capture of hyperspectral images with high spatial and spectral resolution using fewer pixels, achieving compactness, low power consumption, and efficient image reconstruction.
Implementation Method 1
a coded aperture configured to spatially encode an optical signal associated with a scene
Implementation Method 2
an integrated photonic device configured to disperse the spatially encoded optical signal
Implementation Method 3
the integrated photonic device is further configured to provide polarization diversity
Implementation Method 4
an array of photo detectors configured to detect the dispersed and spatially encoded scene
Implementation Method 5
the integrated photonic device includes a plurality of arrayed waveguide grating router (AWGR) blocks
Implementation Method 6
the AWGR block further includes an array of micro-lenses, and a micro-lens is to couple light into a corresponding input waveguide of the AWGRs
Data Source
AI summary
One embodiment provides a compressive hyperspectral imaging system. The compressive hyperspectral imaging system can include a coded aperture configured to spatially encode an optical signal associated with a scene, an integrated photonic device configured to disperse the spatially encoded optical signal, and an array of photo detectors configured to detect the dispersed and spatially encoded optical signal. The output of the array of photo detectors is used for reconstruction of a hyperspectral image corresponding to the scene.