摘要:
为了研究利用 Clementine热红外数据反演月球表面岩石的氧化钙(CaO)含量,论文选取了两景覆盖Apollo17登月点的 Clementine 热红外影像,将其覆盖的区域选为研究区。利用月球表面温度物理模型模拟月表温度,结合普朗克函数,完成发射率反演。在此基础上,对 LPI中35个除 Apollo17登月计划外所采集的样品CaO含量与其热红外发射率特征做回归统计分析,发现存在很好的线性关系(R2=0.661)。由此,基于Clementine热红外发射率实现了研究区CaO含量反演。通过利用LPI Apollo17月岩(壤)样品实际CaO含量分析数据对反演结果进行精度评价,发现8组反演值与实际值的相对误差最小为1.77%,最大为9.29%,均方根误差为0.767。研究结果表明,使用发射率进行CaO含量反演方法可行,为利用Clementine热红外数据对月表矿物成分含量定量反演提供一种新的思路。
Abstract:
In order to study the inversion of CaO content in the lunar rock by using Clementine thermal infrared data, the authors selected two Clementine infrared images, which covered the Apollo17 landing site as the study area. The lunar physical temperature model was employed to simulate the temperature as the input parameter which was used to conduct inversion of the emissivity. 35 LPI Apollo samples except Apollo17 were used to calculate the relationship between the content of CaO and the emissivity. It was shown that the relationship between them was in linear correlation(R2=0.661). Thus the inversion of the content of CaO was carried out based on the Clementine infrared emissivity. To evaluate the results, the authors calculated the relative error between the derived value and the actual value of CaO. Among the 8 relative error results, the minimum is 1.77%, the maximum is 9.29%and the root mean square error is 0.767. Studies show that the methods used for the inversion of emissivity and content of CaO in this paper are feasible. The result achieved by the authors provides a new idea for quantitative inversion of the ingredients of lunar minerals.
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