science_cases:dlr_science_case
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===== Short description ===== | ===== Short description ===== | ||
- | Data returned from space missions has grown immensely in the last decade. Our goal is to understand the composition and evolution of planetary surfaces. We plan to extract the underlying information from this huge data set using unsupervsed | + | Data returned from space missions has grown immensely in the last decade. Our goal is to understand the composition and evolution of planetary surfaces. We plan to extract the underlying information from this huge data set using unsupervised |
===== Aim of the science case ===== | ===== Aim of the science case ===== | ||
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* Bland, P. Crater counting. Astronomy & Geophysics, 44(4): | * Bland, P. Crater counting. Astronomy & Geophysics, 44(4): | ||
* Denevi, B. W., et al., MESSENGER global color observations: | * Denevi, B. W., et al., MESSENGER global color observations: | ||
- | * Hamilton et al., Mineralogy of Martian atmospheric dust inferred from thermal infrared spectra of aerosols. Journal of Geophysical Research, 110(E12):1–11, 2005. ISSN 0148-0227. doi: 10/bhsb7j. | + | * Hamilton et al., Mineralogy of Martian atmospheric dust inferred from thermal infrared spectra of aerosols. Journal of Geophysical Research, 110(E12), E12006, 2005. doi: 10.1029/2005JE002501. |
- | * Helbert et al., Visible and near-infrared reflectance spectra of thermally processed synthetic sulfides as a potential analog for the hollow forming materials on Mercury. Earth and Planetary Science Letters, 369-370: | + | * Helbert et al., Visible and near-infrared reflectance spectra of thermally processed synthetic sulfides as a potential analog for the hollow forming materials on Mercury. Earth and Planetary Science Letters, 369-370: |
* Kerr, R. A. Who Can Read the Martian Clock? Science, 312(5777): | * Kerr, R. A. Who Can Read the Martian Clock? Science, 312(5777): | ||
* McClintock, W. E. and Lankton, M. R. The mercury atmospheric and surface composition spectrometer for the MESSENGER mission. Space Science Reviews, 131(1-4): | * McClintock, W. E. and Lankton, M. R. The mercury atmospheric and surface composition spectrometer for the MESSENGER mission. Space Science Reviews, 131(1-4): | ||
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===== Description of the machine learning problem and our approach ===== | ===== Description of the machine learning problem and our approach ===== | ||
- | In this science case, Mercury surface reflectance data from the MASCS instrument onboard the NASA/ | + | In this science case, Mercury surface reflectance data from the MASCS instrument onboard the NASA/ |
+ | |||
+ | First, NASA/PDS data is converted in a relational DB (PostgreSQL). Then the data is regridded with custom Postgis/ | ||
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+ | Thus, data artifacts, instrumental and photometric residual effects are all removed. The resulting data cube has several hundred features that are compressed via blind signal demixing with **Independent Component Analysis** | ||
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+ | Finally, the 2D maps were partitioned with **[[: | ||
The spatial extent of the polar unit in the northern hemisphere generally correlates well with that of the northern volcanic plains and partially to the surface highest temperature models in the equatorial region. This may indicate an interaction between mineral composition and structure and surface temperature, | The spatial extent of the polar unit in the northern hemisphere generally correlates well with that of the northern volcanic plains and partially to the surface highest temperature models in the equatorial region. This may indicate an interaction between mineral composition and structure and surface temperature, | ||
- | First results of the science case were presented at {{: | + | First results of the science case were presented at {{: |
science_cases/dlr_science_case.1645092414.txt.gz · Last modified: 2022/02/17 11:06 by admin