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基于Clementine熱紅外數(shù)據(jù)的Apollo17登月點(diǎn)區(qū)域氧化鈣含量反演

發(fā)布時(shí)間:2018-04-09 21:46

  本文選題:月球 切入點(diǎn):Clementine 出處:《地球?qū)W報(bào)》2015年02期


【摘要】:為了研究利用Clementine熱紅外數(shù)據(jù)反演月球表面巖石的氧化鈣(Ca O)含量,論文選取了兩景覆蓋Apollo17登月點(diǎn)的Clementine熱紅外影像,將其覆蓋的區(qū)域選為研究區(qū)。利用月球表面溫度物理模型模擬月表溫度,結(jié)合普朗克函數(shù),完成發(fā)射率反演。在此基礎(chǔ)上,對(duì)LPI中35個(gè)除Apollo17登月計(jì)劃外所采集的樣品Ca O含量與其熱紅外發(fā)射率特征做回歸統(tǒng)計(jì)分析,發(fā)現(xiàn)存在很好的線性關(guān)系(R2=0.661)。由此,基于Clementine熱紅外發(fā)射率實(shí)現(xiàn)了研究區(qū)Ca O含量反演。通過(guò)利用LPI Apollo17月巖(壤)樣品實(shí)際Ca O含量分析數(shù)據(jù)對(duì)反演結(jié)果進(jìn)行精度評(píng)價(jià),發(fā)現(xiàn)8組反演值與實(shí)際值的相對(duì)誤差最小為1.77%,最大為9.29%,均方根誤差為0.767。研究結(jié)果表明,使用發(fā)射率進(jìn)行Ca O含量反演方法可行,為利用Clementine熱紅外數(shù)據(jù)對(duì)月表礦物成分含量定量反演提供一種新的思路。
[Abstract]:In order to study the Clementine thermal infrared data for retrieving the content of calcium oxide (Cao) in rocks on the lunar surface, two scenes of Clementine thermal infrared images covering the landing point of Apollo17 were selected, and the area covered by the image was selected as the study area.The physical model of lunar surface temperature is used to simulate the monthly surface temperature, and the emissivity inversion is completed with Planck function.On this basis, the regression statistical analysis was made between the Ca O content and the thermal infrared emissivity of 35 samples in LPI except for the Apollo17 lunar landing plan. It was found that there was a good linear relationship between R2O and 0.661C.Therefore, the inversion of Cao content in the study area is realized based on the Clementine thermal infrared emissivity.By using the data of LPI Apollo17 lunar rock (soil) sample to evaluate the accuracy of inversion, it is found that the relative error between the inversion value and the actual value is 1.77, the maximum is 9.29 and the root mean square error is 0.767.The results show that it is feasible to use emissivity to retrieve Cao content, which provides a new idea for quantitative inversion of monthly mineral content using Clementine thermal infrared data.
【作者單位】: 吉林大學(xué)地球探測(cè)科學(xué)與技術(shù)學(xué)院;
【基金】:國(guó)家自然科學(xué)基金項(xiàng)目(編號(hào):41372337;41373068)資助
【分類號(hào)】:P184.5

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本文編號(hào):1728315


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