Design and realization of data processing of satellite-borne ultraviolet annular imager

Wei-ping WU; Hai-jiang SUN

doi:10.3788/YJYXS20173205.0387

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Design and realization of data processing of satellite-borne ultraviolet annular imager

Display and Image | 更新时间：2020-07-07

- Design and realization of data processing of satellite-borne ultraviolet annular imager
- Chinese Journal of Liquid Crystals and Displays Vol. 32, Issue 5, Pages: 387-393(2017)
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20173205.0387
  CLC： TH73
- Received：16 November 2016，
  
  Accepted：02 January 2017，
  
  Published：2017-05
- 稿件说明：
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Wei-ping WU, Hai-jiang SUN. Design and realization of data processing of satellite-borne ultraviolet annular imager[J]. Chinese journal of liquid crystals and displays, 2017, 32(5): 387-393.
DOI：

Wei-ping WU, Hai-jiang SUN. Design and realization of data processing of satellite-borne ultraviolet annular imager[J]. Chinese journal of liquid crystals and displays, 2017, 32(5): 387-393. DOI： 10.3788/YJYXS20173205.0387.

摘要

为将环形光谱仪下传的原始数据快速转换为待反演的亮度数据，建立了紫外环形光谱仪科学数据处理系统。采用文档-视图的数据流架构，保证数据流之间的无干扰处理；采用暗像元均值对探测器噪声进行校正；采用比例法将像元响应换算为标准积分时间和增益条件下的响应值；采用无须通道光谱响应函数满足高斯函数的光谱积分法将像元响应换算为亮度，并提供指定区域的相对标准偏差统计作为图像转换正确性的快速判据。实验结果表明：系统在测试环境中用352 s时间内流畅处理了环形光谱仪在987 s内产生的2.19 GB图像数据，生成4.96 GB亮度数据，亮度换算后精度为10

-7

lm。系统为卫星运控中心与用户之间提供了快速、准确的数据接口链路，保证了数据反演的准确性和实效性。

Abstract

In order to convert the original data of the ultraviolet annular imager to the brightness data quickly

the ultraviolet data processing system of the ultraviolet annular imager is established. The system adopts the document view architecture to process the data-flow to ensure no interference between data channels. The noise of detector is corrected by the mean value of dark pixels

and the proportion method is used for converting the pixel values under the standard integral time and gain conditions; the pixel values are converted to luminance brightness with the spectral integral method without restriction that the channel spectral response function must meet Gaussian function

and provide the relative standard deviation statistics of the specified region as a rapid judgment of image conversion. The experimental results show that

only in 352 s

the system can process the 2.19 GB image data product by ultraviolet annular imager in 987 s with our test conditions

and convert 4.96 GB brightness data with the precision of 10

-7

lm. The system can provide the standard lines with pixel level precision alignment

and can extract the standard spectral line. The system provides a fast and accurate data link interface between the satellite and the user

which ensures the accuracy and effectiveness of the data retrieval.

关键词

Keywords

references

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