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Retrieving lunar topography from multispectral LROC images.

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Title: Retrieving lunar topography from multispectral LROC images.
Authors: Korokhin, Viktor V.1 dslpp@astron.kharkov.ua, Velikodsky, Yuri I.1, Shalygin, Eugene V.1,2, Shkuratov, Yuriy G.1, Kaydash, Vadym G.1, Videen, Gorden3
Source: Planetary & Space Science. Mar2014, Vol. 92, p65-76. 12p.
Subjects: Lunar atmosphere, Topographical databases, Lunar Reconnaissance Orbiter (Spacecraft), Image analysis, Digital elevation models, Comparative studies
Abstract: Abstract: A technique for retrieving information about the lunar topography from any individual multispectral LROC Wide Angle Camera (WAC) image has been developed. This technology is possible, since images acquired at different wavelengths correspond to different viewing angles and the influence of color differences between the images on the parallax assessments is small. This method provides the precision of Digital Elevation Models (DEMs) comparable to the global lunar 100m raster DTM retrieved from the LROC WAC stereo model (GLD100). It potentially allows one to obtain maps of the elevations with better horizontal resolution than those of the GLD100. An empirical model of the distortion for LROC WAC has been developed and used for correction of the initial WAC images. In contrast to the standard pre-flight model, our model allows for compensation of the radial distortion, decentering the optics, and tilt of the CCD array almost fully. The DEMs obtained using our approach exhibit real morphological details in some cases that are invisible in GLD100 maps. Thus, our method suggests additional independent information about the lunar topography. The fact that our elevation maps have the same projection as the initial images allows valid corrections of these images to account for topographic effects (i. e. orthorectification) in contrast to the use of the GLD100 that may have slightly different coordinates referencing in comparison to individual WAC images. [Copyright &y& Elsevier]
Copyright of Planetary & Space Science is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 94907727
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Retrieving lunar topography from multispectral LROC images.
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  Data: <searchLink fieldCode="AR" term="%22Korokhin%2C+Viktor+V%2E%22">Korokhin, Viktor V.</searchLink><relatesTo>1</relatesTo><i> dslpp@astron.kharkov.ua</i><br /><searchLink fieldCode="AR" term="%22Velikodsky%2C+Yuri+I%2E%22">Velikodsky, Yuri I.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shalygin%2C+Eugene+V%2E%22">Shalygin, Eugene V.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Shkuratov%2C+Yuriy+G%2E%22">Shkuratov, Yuriy G.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kaydash%2C+Vadym+G%2E%22">Kaydash, Vadym G.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Videen%2C+Gorden%22">Videen, Gorden</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Planetary+%26+Space+Science%22">Planetary & Space Science</searchLink>. Mar2014, Vol. 92, p65-76. 12p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Lunar+atmosphere%22">Lunar atmosphere</searchLink><br /><searchLink fieldCode="DE" term="%22Topographical+databases%22">Topographical databases</searchLink><br /><searchLink fieldCode="DE" term="%22Lunar+Reconnaissance+Orbiter+%28Spacecraft%29%22">Lunar Reconnaissance Orbiter (Spacecraft)</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+elevation+models%22">Digital elevation models</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract: A technique for retrieving information about the lunar topography from any individual multispectral LROC Wide Angle Camera (WAC) image has been developed. This technology is possible, since images acquired at different wavelengths correspond to different viewing angles and the influence of color differences between the images on the parallax assessments is small. This method provides the precision of Digital Elevation Models (DEMs) comparable to the global lunar 100m raster DTM retrieved from the LROC WAC stereo model (GLD100). It potentially allows one to obtain maps of the elevations with better horizontal resolution than those of the GLD100. An empirical model of the distortion for LROC WAC has been developed and used for correction of the initial WAC images. In contrast to the standard pre-flight model, our model allows for compensation of the radial distortion, decentering the optics, and tilt of the CCD array almost fully. The DEMs obtained using our approach exhibit real morphological details in some cases that are invisible in GLD100 maps. Thus, our method suggests additional independent information about the lunar topography. The fact that our elevation maps have the same projection as the initial images allows valid corrections of these images to account for topographic effects (i. e. orthorectification) in contrast to the use of the GLD100 that may have slightly different coordinates referencing in comparison to individual WAC images. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Planetary & Space Science is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.pss.2014.01.008
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        Text: English
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        PageCount: 12
        StartPage: 65
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      – SubjectFull: Lunar atmosphere
        Type: general
      – SubjectFull: Topographical databases
        Type: general
      – SubjectFull: Lunar Reconnaissance Orbiter (Spacecraft)
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      – SubjectFull: Image analysis
        Type: general
      – SubjectFull: Digital elevation models
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      – SubjectFull: Comparative studies
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      – TitleFull: Retrieving lunar topography from multispectral LROC images.
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              Text: Mar2014
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              Y: 2014
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              Value: 92
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