Satellite Light Source Identification Using Spectral Bands and Flicker
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Solution Overview
Problem
Current satellite-based systems lack the capability to remotely identify and categorize different types of light sources from the Earth's surface, particularly distinguishing between solid-state lighting, discharge lamps, and incandescent lamps, which is essential for econometric and environmental studies, and existing equipment is expensive and data-intensive.
Innovation Solution
A light-pollution characterization module (LPC) that uses optical bandpass filtered detectors to capture light spectra and flicker spectra, employing a constrained sub-pixel unmixing process to identify and quantify contributions of various light sources, reducing data load by using flicker harmonics and spectral segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite-based systems use conventional spectral detection methods to identify light sources, then measurement capability is provided, but equipment cost and data transmission requirements become excessively high
Solution Approach 1:
The patent segments the continuous spectrum into discrete spectral bands (blue, cyan, green, yellow-green, red) and uses separate detectors for each band. This segmentation allows the system to capture essential spectral information with simpler, less expensive equipment rather than requiring complex full-spectrum spectrometers, thereby reducing device complexity while maintaining measurement precision for light source identification.
Solution Approach 2:
The patent extracts and analyzes only the most diagnostically valuable features from the light spectrum - specifically the spectral power distribution across key bands and flicker characteristics. By taking out only these essential features rather than transmitting complete spectral data, the system achieves accurate light source identification with reduced data transmission requirements and lower equipment complexity.
2Measurement precision
If comprehensive spectral data is captured to accurately identify light sources, then identification accuracy improves, but data transmission burden increases
Solution Approach 1:
The patent extracts only the essential diagnostic features - spectral power ratios between key bands and flicker modulation characteristics - rather than transmitting complete spectral datasets. This extraction approach maintains high identification accuracy for categorizing light sources (LED, fluorescent, incandescent, discharge) while dramatically reducing the volume of data that needs to be transmitted from satellite to ground station.
Solution Approach 2:
The patent transforms the spectral data by computing ratios and differences between spectral bands (e.g., blue/yellow ratio, green/red ratio) and by analyzing temporal flicker parameters. These parameter transformations condense large volumes of raw spectral measurements into compact, informative metrics that preserve identification accuracy while minimizing data transmission requirements.
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
Provides accurate identification and quantification of light sources from space, creating global light pollution maps with reduced data transmission, suitable for nanosatellites, and overcoming the limitations of existing systems.
Implementation Method 1
A light-pollution characterization module (LPC) that uses optical bandpass filtered detectors to capture light spectra
Implementation Method 2
optical bandpass filtered detectors to capture light spectra
Implementation Method 3
the interception of that blue light by a phosphor that absorbs a fraction of the blue light and converts it to yellow light
Data Source
AI summary
A vehicle contains a light-detection module that operates to capture and analyze light emitted from a plurality of sources on the surface of the Earth, while the vehicle is flying above the surface of the Earth. The light detection module is operatively coupled to a processing module with access to a data bank module comprising optical emission spectra data values and flicker spectra data values characteristic of two or more artificial illumination source present on the surface of the Earth. In some cases, the vehicle may, for example, be a satellite, a drone, an airplane, or a balloon.