Remote Sensing Radiometric Correction with Hue-Distance and H-K Mapping
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Solution Overview
Problem
Existing relative radiometric correction methods for remote sensing images fail to accurately correct radiance discrepancies between images captured at different times and spatial extents, especially when radiometric differences are significant, leading to anomalous values and error accumulation.
Innovation Solution
A method that decouples pixel radiometric values through color space transformations, using hue-distance constrained corrections and global lightness mapping to align with human visual perception, incorporating the Helmholtz-Kohlrausch effect to minimize channel correlations and suppress radiometric anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mathematical model-based methods are used for relative radiometric correction, then correction can be performed without reference images, but radiometric anomalies occur when significant radiometric differences exist between images
Solution Approach 1:
The patent transforms images from RGB color space to CIELAB color space, changing the parameter representation to achieve better radiometric correction. This parameter transformation allows for more accurate handling of radiometric differences while avoiding anomalies
Solution Approach 2:
The patent segments the correction process into multiple stages: initial correction using statistical properties, followed by hue-distance constrained correction, and finally H-K effect compensation. This segmentation allows each stage to address specific aspects of radiometric correction, improving overall reliability
2Productivity
If individual RGB channels are corrected separately, then correction can be applied to each channel, but anomalous radiometric values are generated in the corrected images
Solution Approach 1:
The patent merges the correction process into the CIELAB color space where luminance (L*) and chrominance (a*, b*) are handled together rather than separately correcting RGB channels. This unified approach maintains the relationships between color components and prevents generation of anomalous radiometric values
3Adaptability or versatility
If path propagation-based methods are used for radiometric correction, then correction can be performed across large image datasets, but error accumulation occurs
Solution Approach 1:
The patent introduces feedback mechanisms through statistical property calculation and hue-distance constraints that continuously monitor and adjust the correction process. This feedback prevents error accumulation by ensuring correction remains within acceptable ranges throughout the processing
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 method effectively suppresses radiometric anomalies and achieves uniform radiance correction across multiple remote sensing images, even without a reference image, aligning with human visual perception and improving the quality of orthophoto products.
Implementation Method 1
converting an image from a RGB color space to a CIELAB color space
Implementation Method 2
Taking the H-K effect into account, the method employs the concept of global lightness mapping to eliminate the discrepancy between perceived lightness and physical lightness
Data Source
AI summary
This disclosure discloses a method and system of hue-distance constrained relative radiometric correction considering Helmholtz-Kohlrausch (H-K) effect for multiple remote sensing images. The method comprises: first converting the image from the RGB color space to the CIELAB color space, then performing relative radiometric correction using adaptive constraint based on hue-distance, and quantitatively describing the H-K effect to apply global lightness mapping to the corrected image. Based on the limitations of the RGB color space, this disclosure proposes a relative radiometric correction strategy that maintains hue distance, which suppresses radiometric anomalies in local regions and optimizes correction results. By implementing global lightness mapping based on the H-K effect and introducing perceived lightness into the relative radiometric correction of remote sensing images, this method effectively enhances the radiation consistency of multi-temporal images.