面阵探测下的污染云团红外光谱仿真

发布时间：2018-10-24 20:03

【摘要】：研究污染云团的红外光谱仿真,对于利用仿真光谱进行光谱识别的算法研究十分重要.在单元探测器探测方式下污染云团的红外光谱仿真研究取得了一定成果,并且已经被应用于识别算法的研究工作中.针对基于成像光谱仪的污染云团识别算法研究缺乏实测数据的问题,利用具有高仿真精度的基于物理模型的污染云团扩散模型及其仿真结果网格化的特点,研究相应的云团红外光谱仿真多层模型,提出了面阵探测方式下污染云团红外光谱的仿真方法,生成了同时具有光谱维和空间维信息的数据立方体,为该研究领域提供了新的研究方法.提出的面阵探测方式下的污染云团红外光谱仿真直观地反映了污染云团的扩散,提供了完备且符合实际情况的污染云团红外光谱立方体数据,对于提高和完善红外光谱识别算法具有重要意义.
[Abstract]:It is very important to study the infrared spectral simulation of the contaminated cloud cluster for the spectral recognition algorithm using the simulated spectrum. Some achievements have been made in the infrared spectrum simulation of the contaminated cloud in the detection mode of the unit detector, and it has been applied to the research of recognition algorithm. In order to solve the problem of lack of measured data in the research of pollution cloud identification algorithm based on imaging spectrometer, the pollution cloud diffusion model based on physical model with high simulation accuracy and the gridding of simulation results are used. In this paper, the corresponding multi-layer model of cloud cluster infrared spectrum simulation is studied, and the simulation method of polluting cloud infrared spectrum is put forward under the method of area array detection, and the data cube with spectral and spatial dimension information is generated. It provides a new research method for this research field. The infrared spectrum simulation of the polluted cloud cluster under the area array detection method can reflect the diffusion of the pollution cloud cluster intuitively, and provide complete and practical infrared spectral cube data of the polluted cloud cluster. It is of great significance to improve and improve the infrared spectrum recognition algorithm.
【作者单位】：中国科学院安徽光学精密机械研究所通用光学定标与表征技术重点实验室;中国科学技术大学科学岛分院;
【基金】：国家自然科学基金(批准号:41505020)资助的课题~~
【分类号】：O434.33

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