Multispectral remote sensing random optimal ratio logarithmic water depth inversion method

Through the logarithmic water depth inversion method of random optimal ratios of multispectral remote sensing, the problem of limited range of actual measured water depth data in traditional methods is solved, and water depth inversion with higher accuracy and reliability is achieved, which is suitable for large-scale and multi-island waters.

CN119692187AActive Publication Date: 2025-03-25GUILIN UNIVERSITY OF TECHNOLOGY
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Patent Information

Application Number
CN202411812803.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-03-25
Estimated Expiration
2044-12-10

AI Technical Summary

Technical Problem

The existing multispectral remote sensing water depth inversion method relies on the measured water depth data obtained by traditional ship-based sonar and airborne lidar. The range is limited, resulting in the accuracy and reliability of satellite depth sounding still need further research.

Method used

The logarithmic water depth inversion method of random optimal ratio in multispectral remote sensing is adopted, and the water depth inversion is achieved by constructing an atmospheric coupled radiation calibration correction model, a differential quotient interpolation tide high correction model, a FNDWI normalized differential water index and ratio logarithmic model, and combining the stochastic algorithm and extreme gradient enhancement method to optimize the model parameters to achieve water depth inversion.

Benefits of technology

It improves the accuracy and reliability of water depth inversion, reduces the complexity of data extraction time, optimizes model parameter inversion, and enhances the inversion ability of water depth, especially in large-scale and multi-island waters.

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Abstract

Aiming at the situation that a water body signal is generally lower than 5%, the invention provides a multispectral remote sensing random optimal ratio logarithmic water depth inversion method, which comprehensively considers the influence of a solar spectrum, an upward total scattering rate, a solar zenith angle, a global total transmittance, a vertical irradiance and a total spherical reflection illuminance, and constructs an atmospheric coupled radiation calibration correction model to correct atmospheric and water surface reflectance. The quotient interpolation tidal height correction model corrects the tidal height, the FNDWI normalized difference water body index accurately extracts the water body, the random optimal model effectively extracts the sub-data set, the extreme gradient lifting method optimizes the model parameters, the optimal ratio logarithmic model is obtained, and water depth inversion is carried out. Compared with the inversion water depth of a Stumpf model, the R2 precision of the inversion water depth of the model is improved by 0.592, and the RMSE is improved by 0.841 m.
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