首页> 外文会议>Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing >Independent Component Analysis of the Gamma Ray Spectrometer data of SELENE (Kaguya)
【24h】

Independent Component Analysis of the Gamma Ray Spectrometer data of SELENE (Kaguya)

机译:Selene(kaguya)伽马射线谱仪数据的独立分量分析

获取原文

摘要

We analyze the spectra measured by the Gamma Ray Spectrometer (GRS) on board the SELENE satellite orbiting the Moon. The spectra consist in 8192 energy channels ranging from 0 to 12 MeV and exhibiting lines of interest (O, Mg, Al, Si, Ti, Ca, Fe, K, Th, and U) superposed on a continuum. We have also analysed the data with various multivariate techniques, one of them being the Independent Component Analysis. We have used the JADE algorithm for our analysis that we focused in the energy range from 750 to 3000 keV. We identify at least three meaningful components. The first one is correlated to the Thorium map. The corresponding correlation coefficient spectrum exhibits the lines of Thorium, Potassium and Uranium. The second component is clearly correlated with the Iron as shown on its corresponding spectrum. Finally the third component seems to be related to the altitude of the spacecraft. This work shows that maps of elements such as iron will be available with the GRS data by a purely statistical analysis.
机译:我们分析了伽马射线光谱仪(GRS)在镶嵌卫星轨道上绕着月球测量的光谱。光谱由8192个能量通道组成,范围为0至12meV,并展示在连续uum上叠加的兴趣线(O,Mg,Al,Si,Ti,Ca,Fe,K,Th和U)。我们还通过各种多元技术分析了数据,其中一个是独立的分量分析。我们使用了玉石算法来分析,我们专注于750至3000 kev的能量范围。我们识别至少三种有意义的组件。第一个与钍图相关联。相应的相关系数光谱显示出钍,钾和铀的线。第二组分与铁的熨斗明显相关,如其相应的光谱所示。最后,第三个组成部分似乎与航天器的高度有关。这项工作表明,诸如铁等元素的地图将通过纯粹的统计分析使用GRS数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号