Research on fast hyperspectral atmospheric radiation transfer imaging modeling based on .NET environment

Yunqiao Xi; Xiaomei Chen; Tian Lan

doi:10.1117/12.2547669

18 December 2019 Research on fast hyperspectral atmospheric radiation transfer imaging modeling based on .NET environment

Yunqiao Xi, Xiaomei Chen, Tian Lan

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Proceedings Volume 11334, AOPC 2019: Optoelectronic Devices and Integration; and Terahertz Technology and Applications; 1133414 (2019) https://doi.org/10.1117/12.2547669
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

Atmospheric radiation transmission is one of the most complex and variable parts of hyperspectral remote sensing systems. Aimed at the abstraction and complexity of the influence of atmospheric radiation on the quality of hyperspectral imaging, the design of simulation software for hyperspectral atmospheric radiation transmission imaging in visible light is proposed. Firstly,this paper analyzes the radiation transmission process including the surface reflectivity, the adjacent pixel reflectivity and the atmospheric transmission factor, and describes the calculation method of the radiance at-sensor for the hyperspectral image in the visible light bands. Then the multi-core CPU based on the .Net environment is constructed. The adjacent pixel point diffusion function parallel computing module and the GPU-based on-satellite reflectivity parallel computing module; the experimental part takes the hyperspectral surface reflectance image as input data, and degenerates the output into the hyperspectral radiance simulation data in different scenarios. At the same time, test of the time of individual modules and the overall algorithm in the simulation process is tested. The experimental results of real-time performance show that the parallel algorithm has significantly improved.

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Yunqiao Xi, Xiaomei Chen, and Tian Lan "Research on fast hyperspectral atmospheric radiation transfer imaging modeling based on .NET environment", Proc. SPIE 11334, AOPC 2019: Optoelectronic Devices and Integration; and Terahertz Technology and Applications, 1133414 (18 December 2019); https://doi.org/10.1117/12.2547669

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KEYWORDS

Image processing

Atmospheric modeling

Hyperspectral simulation

Hyperspectral imaging

Computer simulations

Reflectivity

Visible radiation

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