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Quantitative Remote Sensing Inversion

This work integrates AI algorithms and radiative transfer models to build high-precision quantitative remote sensing inversion methods. It accurately retrieves key physical and chemical parameters of the surface and atmosphere from spectral and radiometric data. Applications include vegetation, soil moisture, and water quality parameter inversion.

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