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陨星和月球土壤的光谱识别 被引量:2

Spectral Bands for Identification of Meteorite and Lunar Soil
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摘要 文章研究了使用符号检验法和秩和检验法等数理统计方法在短波红外-长波红外光谱范围(2.0795~14.011μm)内选择识别陨星和月球土壤光谱波段的问题,并对所选出的波段进行了相关性分析,最终选择了5个多光谱遥感波段,它们是:2.23~2.66μm,3.52~3.74 μm,6.97~7.12 μm,8.63~9.09μm和12.84~13.64μm.该项研究对中国探月计划具有参考价值. The paper discusses the multi-spectral band selection from SWIR to LWIR(2.0795~14.011μm) for identification of meteorite and lunar soil by using satellite optical remote sensor by means of some statistical methods, including sign test and rank sum test. After analysis of correlations of selected spectral bands, we choose five corresponding bands as the final results as following: 2.23~2.66μm, 3.52~3.74μm, 6.97~7.12μm, 8.63~9.09μm and 12.84~13.64μm.
出处 《航天返回与遥感》 2005年第2期34-37,40,共5页 Spacecraft Recovery & Remote Sensing
关键词 陨星 月球土壤 光谱识别 统计方法 遥感波段 Meteorite Lunar soil Spectral identification Statistical method Spectral band
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参考文献5

  • 1.[EB/OL].http://202.118.224.19/54/2003/540806111056/,.
  • 2童庆禧 田国良 等.多光谱遥感波段选择方法的研究[J].宇航学报,1983,(2).
  • 3Kondratyev, K. Ya., and O. M. Pockrovsky. Factor analysis approach to optimal selection of spectral intervals for multipurpose experiments in remote sensing of enviromnent and earth resource. Remote Sensing of Environment, 1979,8,3 - 10.
  • 4庄楚强 吴亚森.应用数理统计基础[M].华中理工大学出版社,2000.7.
  • 5.[EB/OL].http://speclib.jpl.nasa.gov/.,.

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