神经网络建模在无人机定向热测系统标定中的应用

2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS) Pub Date : 2018-05-01 DOI:10.23919/ICINS.2018.8405868

R. V. Alaluyev, M. V. Ryabtsev

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引用次数: 1

摘要

本文考虑了利用神经网络仿真技术对系统中的红外传感器进行标定的可能性，以根据当前气象情况的数据确定无人机系统的方向。研究结果旨在确定各种气象参数对红外传感器输出信号的影响程度，并对执行校准的各种架构的神经网络的性能进行了评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of neuro network modeling for calibration of pyrometric system for unmanned aircraft orientation

The paper considers the possibility to calibrate IR sensors in the system for determining the orientation of an unmanned aerial system based on the data of the current meteorological situation using neural network simulation technologies. The results of the study aimed at determining the degree of influence of various meteorological parameters on the output signal of an infrared sensor are presented together with the assessment of the performance of neural networks of various architectures that perform calibration.

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2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)

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