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首页> 外文期刊>Izvestiya Atmospheric and Oceanic Physics >Operational Capability Assessment for the NA-GS Hyperspectral Sensor Using Simulation and Statistical Modeling
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Operational Capability Assessment for the NA-GS Hyperspectral Sensor Using Simulation and Statistical Modeling

机译:使用模拟和统计建模的NA-GS高光谱传感器的操作能力评估

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摘要

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.
机译:由NPO Lepton(Zelenograd,莫斯科)生产的NA-GS高光谱相机(莫斯科)将安装在地球遥感程序中的国际空间站的俄罗斯国际空间站段,以便实验测试地面空间系统监测和预测自然和人造灾害的发展。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主题处理任务有关。在本文中,我们提出了一种基于模拟和统计建模数据来评估NA-GS的操作能力的技术。所提出的仿真和统计模型(SSM)的概念包括使用超细传感器的给定精度模拟复杂形状的测试多边形,并模拟测试多边形的选定部分的观察,并考虑到云盖和天顶角太阳。考虑了外部观察条件对高光谱图像质量的影响。对所选测试区域进行数值实验。对计算结果的分析证实了所提出的技术的可靠性。

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