Optical Path Radiance Correction via Adaptive Dark Pixel Weighting
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Solution Overview
Problem
Observed luminance values in remote sensing are affected by surface reflection, solar light brightness, and atmospheric absorption and scattering, making it difficult to accurately estimate and correct optical path radiance for precise ground surface object information.
Innovation Solution
An information processing device and method that calculates interim optical path radiance values for different wavelength bands, incorporating atmospheric state information and using a weighting coefficient for dark pixels to correct optical path radiance in observation images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical path radiance correction is performed using conventional methods, then atmospheric influence is partially removed, but correction accuracy is insufficient due to complex optical path and environmental noise
Solution Approach 1:
The patent segments the optical path radiance correction into multiple wavelength band processing steps. By dividing the correction process across multiple wavelength bands and using segmented atmospheric parameter estimation, the system handles complexity in manageable portions while improving overall correction accuracy through cumulative refinement.
Solution Approach 2:
The patent employs parameter changes by estimating atmospheric parameters (such as aerosol optical depth, water vapor content) that vary with environmental conditions. By dynamically adjusting these parameters based on observed luminance values and environmental noise characteristics, the correction accuracy is improved without requiring a simpler optical path.
2Measurement precision
If environmental noise is considered in correction, then correction accuracy improves, but calculation complexity increases
Solution Approach 1:
The patent introduces an intermediary approach by using atmospheric parameters as mediators between the observed luminance and the desired surface reflectance. These parameters serve as intermediate variables that capture environmental noise effects, allowing the system to account for complex atmospheric conditions without directly solving the full complexity of the radiative transfer equation.
Solution Approach 2:
The patent applies partial action by focusing correction efforts on the most significant sources of environmental noise for each wavelength band rather than attempting to model all possible atmospheric effects equally. This selective approach improves accuracy for critical parameters while keeping the calculation process manageable.
3Ease of manufacture
If dark pixel assumption is used for optical path radiance estimation, then calculation is simplified, but reliability decreases when dark pixels are not representative
Solution Approach 1:
The patent introduces dynamics by making the weighting coefficient adaptive rather than fixed. The weighting coefficient that combines dark pixel-based optical path radiance with other estimation methods is dynamically adjusted based on the representativeness of dark pixels in each scene. This allows the system to maintain calculation simplicity while improving reliability by automatically relying more on dark pixel assumptions when they are valid and using alternative methods when they are not.
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
Improves the accuracy of optical path radiance correction, enabling more precise extraction of surface reflectance and material quality information from remote sensing data.
Implementation Method 1
β(λ) represents a component (addition component) relating to a luminance of light (scattered light) at the wavelength λ, in which solar light is scattered in an atmosphere and reaches a sensor without passing through the ground surface object
Implementation Method 2
absorption of light by an atmosphere
Data Source
AI summary
An device extracts a luminance that satisfies a rule from among luminance of being observed values of electromagnetic waves in a plurality of wavelength bands different mutually and calculates a first interim optical path radiance based on the luminance. The observed values is associated with each pixel constituting an observation image for each of the wavelength bands. The device calculates a final optical path radiance for each of the wavelength bands by weighting the first and a second interim optical path radiance including information on atmosphere with a weighting coefficient and adding those weighted luminance. The weighting coefficient represents reliability for an assumption of a dark pixel that is a pixel assumed not to be affected by electromagnetic waves reflected by an object. The device subtracts the final optical path radiance from all pixels of the observation image for each of the wavelength bands.