Editorial correspondence:
The Mars Orbiter Laser Altimeter (MOLA) instrument on the Mars Global Surveyor (MGS) spacecraft has returned a large amount of data on the topography of Mars. It is possible to generate high-resolution Digital Elevation Models (DEMs) from this data by employing data interpolation techniques. Four in...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.491.2408 2023-05-15T16:49:18+02:00 Editorial correspondence: Altimeter (mola Data Oleg Abramov Alfred Mcewen The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.491.2408 http://pirlwww.lpl.arizona.edu/~abramovo/MOLA_interpolation/MOLA_interpolation_submitted_paper.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.491.2408 http://pirlwww.lpl.arizona.edu/~abramovo/MOLA_interpolation/MOLA_interpolation_submitted_paper.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://pirlwww.lpl.arizona.edu/~abramovo/MOLA_interpolation/MOLA_interpolation_submitted_paper.pdf text ftciteseerx 2016-08-14T00:02:37Z The Mars Orbiter Laser Altimeter (MOLA) instrument on the Mars Global Surveyor (MGS) spacecraft has returned a large amount of data on the topography of Mars. It is possible to generate high-resolution Digital Elevation Models (DEMs) from this data by employing data interpolation techniques. Four interpolation algorithms were selected for testing on MOLA data: Delaunay-based linear interpolation, splining, nearest neighbour, and natural neighbour. These methods were applied to the MOLA data of Korolev crater for qualitative analysis. In addition, a DEM of a part of Iceland was used for quantitative testing by simulating MOLA data acquisition, interpolating that data, and then calculating the mean absolute error (MAE) between the interpolated and original DEM. Execution speeds were measured for the four algorithms. The natural neighbour method proved superior both quantitatively and qualitatively to other methods tested, but is relatively slow computationally. Text Iceland Unknown |
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The Mars Orbiter Laser Altimeter (MOLA) instrument on the Mars Global Surveyor (MGS) spacecraft has returned a large amount of data on the topography of Mars. It is possible to generate high-resolution Digital Elevation Models (DEMs) from this data by employing data interpolation techniques. Four interpolation algorithms were selected for testing on MOLA data: Delaunay-based linear interpolation, splining, nearest neighbour, and natural neighbour. These methods were applied to the MOLA data of Korolev crater for qualitative analysis. In addition, a DEM of a part of Iceland was used for quantitative testing by simulating MOLA data acquisition, interpolating that data, and then calculating the mean absolute error (MAE) between the interpolated and original DEM. Execution speeds were measured for the four algorithms. The natural neighbour method proved superior both quantitatively and qualitatively to other methods tested, but is relatively slow computationally. |
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The Pennsylvania State University CiteSeerX Archives |
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Altimeter (mola Data Oleg Abramov Alfred Mcewen |
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Altimeter (mola Data Oleg Abramov Alfred Mcewen Editorial correspondence: |
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Altimeter (mola Data Oleg Abramov Alfred Mcewen |
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Altimeter (mola Data |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.491.2408 http://pirlwww.lpl.arizona.edu/~abramovo/MOLA_interpolation/MOLA_interpolation_submitted_paper.pdf |
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Iceland |
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http://pirlwww.lpl.arizona.edu/~abramovo/MOLA_interpolation/MOLA_interpolation_submitted_paper.pdf |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.491.2408 http://pirlwww.lpl.arizona.edu/~abramovo/MOLA_interpolation/MOLA_interpolation_submitted_paper.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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