Infrared cloud height inversion method based on multiple optical thickness sets and residual weighting

By using a multi-optical thickness set and residual weighting method, the uncertainty caused by the unknown optical thickness in infrared cloud height inversion is solved, and the stability and consistency of cloud height inversion are achieved, which is applicable to ground-based infrared remote sensing systems.

CN121661489APending Publication Date: 2026-03-13LUOYANG JUHENG INTELLIGENT EQUIPMENT CO LTD
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Patent Information

Application Number
CN202511773531.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-28
Publication Date
2026-03-13

AI Technical Summary

Technical Problem

In existing technologies, cloud height inversion methods based on single-channel infrared data lack effective constraints, the cloud height solution is not unique, and the deviation is significant, especially in the case of thin clouds and semi-transparent clouds. Furthermore, the reliance on the assumption of fixed optical thickness leads to large errors.

Method used

By employing a multi-optical thickness set and residual weighting method, an infrared radiation image is acquired, a multi-dimensional radiation lookup table is constructed, and optical thickness levels are selected using radiation sensitivity analysis. Residual calculations and weighted fusion of candidate cloud height values ​​are then performed to achieve adaptive constraints.

Benefits of technology

It improves the physical consistency and stability of cloud height inversion, is suitable for infrared cloud measurement systems with large and small field of view, can be deployed across sites and climate zones, and reduces the impact of optical thickness uncertainty on inversion results.

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Abstract

The invention discloses an infrared cloud height inversion method based on multiple optical thickness sets and residual weighting, and the method comprises the steps: generating a simulation curve set changing with zenith angles in advance through a radiation transmission mode under a preset atmosphere profile condition, and carrying out the interpolation of a curve to a zenith angle matrix corresponding to an instrument view field, so as to construct a multi-dimensional radiation lookup table; interpolating the multi-dimensional radiation lookup table according to the total content of the atmospheric water vapor at the current time to generate a cloud height-radiation relation sub-table; for each cloud pixel, a cloud height candidate value of the cloud pixel exists under each optical thickness grade, a residual error between actually measured radiation corresponding to the cloud height candidate value and the cloud height-radiation simulation curve is calculated, an optical thickness residual error of each grade is obtained, an optical thickness weight is constructed, the multiple cloud height candidate values are subjected to weighted fusion, and a cloud height-radiation simulation curve is obtained; and obtaining a cloud height inversion result with cloud pixels. The influence of optical thickness uncertainty on cloud height inversion can be weakened through a multi-light-thickness set and a residual weight mechanism, and the cloud height inversion precision and stability are improved.
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