Calculation method and device for earth-gas light scattering characteristics

Through the equivalent earth gas light bidirectional reflection prediction model and reverse ray tracing algorithm based on machine learning, the accuracy and efficiency problems of earth gas light scattering calculation under space-time dynamic evolution conditions in the prior art are solved, and high-precision and high-efficiency calculation of earth gas light scattering characteristics are achieved.

CN119646486AActive Publication Date: 2025-03-18BEIJING INST OF ENVIRONMENTAL FEATURES +1
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Patent Information

Application Number
CN202411717610.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-03-18
Estimated Expiration
2044-11-27

AI Technical Summary

Technical Problem

The existing radiation transmission algorithm cannot meet the high-precision requirements of space-time dynamic evolution conditions, and has low computational efficiency, making it difficult to adapt to scenarios with large differences in ground and air.

Method used

The equivalent geospatial bidirectional reflection prediction model based on machine learning is adopted. By training prediction models in edge-side and non-edge detection scenarios, combined with reverse ray tracing algorithms, the spatial geometric characteristics of the detection scene are calculated, and the environmental parameters of the geographical location of the scattering surface are extracted to achieve rapid calculation of the geospatial light scattering characteristics.

Benefits of technology

While meeting the actual requirements of high-precision spatial and temporal dynamic evolution of the earth gas system, it significantly improves the computing efficiency and can handle complex earth gas light scattering problems more quickly.

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Abstract

The invention provides a method and a device for calculating earth-gas light scattering characteristics. The method comprises the following steps: dispersing detection light rays in a detection view field range of a detector to obtain a plurality of detection light rays; determining a detection scene corresponding to each detection light ray according to the position of the detector and the direction of each detection light ray, and calculating a geometrical characteristic parameter value under the detection scene; according to the detection scene of each piece of detection light, extracting an environment characteristic parameter value of a scattering surface geographic position corresponding to each piece of detection light in the detection scene; and respectively inputting each group of environment characteristic parameter values and geometric characteristic parameter values into the limb light scattering characteristic prediction model or the non-limb light scattering characteristic prediction model to obtain the geogas light scattering radiation brightness in the detection view field range. According to the scheme, the calculation efficiency is further improved while the actual requirement for high precision of space-time dynamic evolution of the geogas system is met.
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