The NA-GS hyperspectral camera (Hyperspectrometer scientific instrument) produced by NPO Lepton (Zelenograd, Moscow) will be installed on the Russian segment of the International Space Station within a program for Earth remote sensing from space for experimentally testing the ground–space system for monitoring and forecasting the development of natural and manmade disasters. The practical application of this system is associated with performing tasks of thematic processing of hyperspectral images that should satisfy certain quality criteria. In this article, we propose a technique for assessing the operational capabilities of the NA-GS based on simulation and statistical modeling data. The concept of the proposed simulation and statistical model (SSM) includes modeling a test polygon of complex shape and simulating the observation of selected parts of the test polygon with a given accuracy using a hyperspectral sensor and taking into account cloud cover and the zenith angle of the Sun. The effect of external observation conditions on the quality of hyperspectral images is considered. Numerical experiments are conducted for the selected test areas. The analysis of the calculation results confirms the reliability of the proposed technique.

中文翻译：

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使用仿真和统计建模对 NA-GS 高光谱传感器进行操作能力评估

由 NPO Lepton（莫斯科泽列诺格勒）生产的 NA-GS 高光谱相机（高光谱仪科学仪器）将安装在国际空间站俄罗斯部分的空间地球遥感项目中，用于对地空系统进行实验测试监测和预测自然和人为灾害的发展。该系统的实际应用与执行应满足某些质量标准的高光谱图像的专题处理任务有关。在本文中，我们提出了一种基于模拟和统计建模数据评估 NA-GS 操作能力的技术。所提出的模拟和统计模型 (SSM) 的概念包括对复杂形状的测试多边形进行建模，并使用高光谱传感器以给定的精度模拟对测试多边形选定部分的观察，并考虑云覆盖和天顶角。太阳。考虑了外部观测条件对高光谱图像质量的影响。对选定的测试区域进行了数值实验。计算结果的分析证实了所提出技术的可靠性。对选定的测试区域进行了数值实验。计算结果的分析证实了所提出技术的可靠性。对选定的测试区域进行了数值实验。计算结果的分析证实了所提出技术的可靠性。