通过CRISM/MRO观察到的Mars的表面反射率：2。古谢夫陨石坑和子午线平原表面光度学性质的估算
Surface reflectance of Mars observed by CRISM/MRO: 2. Estimation of surface photometric properties in Gusev Crater and Meridiani Planum
摘要：
本文提出了一种方法来分析的表面物质的光度特性，从多角度的观测所获得的紧凑型侦察成像光谱仪火星（CRISM）的火星侦察轨道器。我们估计光度参数使用Hapke模型在贝叶斯反演框架。这项工作也代表了大气校正提供的多角度的方法检索表面反射率从CRISM观测（MARS-ReCO）中提出的配套article.The后一种算法检索光度曲线的表面材料的反射率单位后，删除气溶胶的贡献。通过将估计的光度参数与在火星探测漫游车（MER）-精神号和MER-机会号着陆点的全景相机仪器进行原位测量获得的参数进行比较，进行了验证。一致的光度参数与那些从原位测量发现，表明MARS-ReCO提供了准确的表面反射率。此外，假设的非朗伯表面包括在MARS-ReCO被证明是显着更精确的估计表面光度特性从空间相比，朗伯表面假设的基础上的方法。在未来，所提出的方法将使我们能够从轨道映射的表面双向反射和相关的光度参数，以表征火星表面。
英文摘要：
The present article proposes an approach to analyze the photometric properties of the surface materials from multi-angle observations acquired by the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) on-board the Mars Reconnaissance Orbiter. We estimate photometric parameters using Hapke model in a Bayesian inversion framework. This work also represents a validation of the atmospheric correction provided by the Multi-angle Approach for Retrieval of Surface Reflectance from CRISM Observations (MARS-ReCO) proposed in the companion article.The latter algorithm retrieves photometric curves of surface materials in reflectance units after removing the aerosol contribution. This validation is done by comparing the estimated photometric parameters to those obtained from in situ measurements by Panoramic Camera instrument at the Mars Exploration Rover (MER)-Spirit and MER-Opportunity landing sites. Consistent photometric parameters with those from in situ measurements are found, demonstrating that MARS-ReCO gives access to accurate surface reflectance. Moreover the assumption of a non-Lambertian surface as included in MARS-ReCO is shown to be significantly more precise to estimate surface photometric properties from space in comparison to methods based on a Lambertian surface assumption. In the future, the presented method will allow us to map from orbit the surface bidirectional reflectance and the related photometric parameters in order to characterize the Martian surface.
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