XGBoost Inversion of Ocean-Atmosphere Optical Parameters

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Solution Overview

Problem

Existing methods for inverting ocean-atmosphere optical parameters have not effectively utilized polarization data to accurately invert ocean-atmosphere optical parameters, particularly in the UV-short wave infrared (UV-SWIR) band, failing to provide comprehensive ocean and atmospheric correction of satellite data, which is crucial for accurate atmospheric correction and water inversion.

Innovation Solution

A method and device for inverting ocean-atmosphere optical parameters using multi-angle polarized satellite data, employing an XGBoost machine training model to process vector apparent reflectance and observation geometry, including modules for fine/coarse mode aerosol optical thickness, aerosol particle size distribution, sea surface wind speed, chlorophyll concentration, and suspended particulate matter concentration, utilizing Ocean Successive Orders with Atmosphere-Advanced radiative transfer models and atmospheric diffuse transmittance lookup tables.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional atmospheric correction methods are used without polarization data, then the processing flow is simple, but the accuracy of ocean-atmosphere optical parameter inversion is insufficient

Engineering Contradiction:
Improveaccuracy of ocean-atmosphere optical parameter inversionVSAvoidcomplexity of atmospheric correction process
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the atmospheric correction process into multiple independent modules: aerosol optical thickness inversion module, aerosol particle size inversion module, water-leaving radiance inversion module, and water IOP inversion module. Each module processes specific parameters using polarization data, allowing accurate inversion while maintaining manageable system complexity through modular architecture

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces polarization data as an additional dimension to traditional atmospheric correction. By incorporating multi-angle polarization measurements alongside traditional radiance data, the system achieves more comprehensive optical parameter inversion without significantly increasing processing complexity, as polarization data provides complementary information rather than redundant data

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of information

If comprehensive ocean-atmosphere optical parameters are inverted, then the information content is rich, but the computational time and model complexity increase

Engineering Contradiction:
Improvecompleteness of ocean and atmospheric informationVSAvoidcomputational time for parameter inversion
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent divides the comprehensive parameter inversion into separate sequential modules, each handling specific optical parameters. This segmentation allows the system to process multiple parameters efficiently without simultaneous computation overhead, maintaining information completeness while controlling computational time through staged processing

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary atmospheric correction using polarization data to obtain intermediate results (aerosol optical thickness, aerosol particle size) before proceeding to water-leaving radiance and water IOP inversion. This preliminary action reduces the computational burden for subsequent steps by pre-processing atmospheric contributions, thereby reducing overall computational time while preserving information completeness

Inventive Principle:
Principle #10Preliminary action

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 and efficient inversion of ocean-atmosphere optical parameters, including aerosol optical thickness, particle size, wind speed, chlorophyll, and particulate matter concentration, enhancing the accuracy of atmospheric correction and water scattering processes.

Implementation Method 1

inputting the multiple groups of sample ocean-atmosphere optical parameters and the sample observation geometry into an Ocean Successive Orders with Atmosphere-Advanced radiative transfer model, to output a vector apparent reflectance {right arrow over (ρ)}TOAw of water-leaving radiance at top of atmosphere

Methodology Applied
Scientific EffectRadiative transfer: Scattering

Implementation Method 2

inputting the vector apparent reflectance ρl, ρQ, ρU and the observation geometry into a trained ocean-atmosphere optical parameter model, to output a group of ocean-atmosphere optical parameters

Methodology Applied
Scientific EffectMachine learning:

Data Source

PatentUS12461028B2Method and device for inverting ocean-atmosphere optical parameters and storage medium
Publication Date: 2025.11.04 SECOND INST OF OCEANOGRAPHY MNR
  • US12461028B2 patent drawing
  • US12461028B2 patent drawing
  • US12461028B2 patent drawing

AI summary

A method and device for inverting ocean-atmosphere optical parameters and storage medium. The method includes: obtaining a vector apparent reflectance ρl, ρQ, ρU of water-leaving radiance at top of atmosphere and observation geometry of a multi-angle polarized satellite, and inputting the vector apparent reflectance ρl, ρQ, ρU and the observation geometry into a trained ocean-atmosphere optical parameter model, to output a group of ocean-atmosphere optical parameters, the output ocean-atmosphere optical parameters comprise: PBOAw, FAOD/CAOD, FRm/CRm, W, CHL and SPM, the ocean-atmosphere optical parameter model is an XGBoost machine training model. In this way, the ocean-atmosphere optical parameters can be quickly and stably inverted.