Visualization and topographical analysis of the Mars surface
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| Title: | Visualization and topographical analysis of the Mars surface |
|---|---|
| Authors: | Dorninger, P. pdo@ipf.tuwien.ac.at, Jansa, J.1, Briese, Ch.1 |
| Source: | Planetary & Space Science. Jan2004, Vol. 52 Issue 1-3, p249. 9p. |
| Subjects: | Remote sensing, Mars surface samples, Martian exploration, Mars (Planet) |
| Abstract: | The Institute of Photogrammetry and Remote Sensing has more than 30 years of experience in computation, visualization and analysis of digital terrain data. Most of the developed methods and algorithms are implemented in the software application SCOP++ and tested on Earth datasets. Due to the institute''s involvement into Mars Express, these methods have been used for non-terrestrial applications for the first time. One of the primary aims has always been the capability to deal with countrywide datasets. So it was no problem to handle the large amount of Mars-related datasets. Nevertheless several changes and adaptations were necessary to use the given algorithms.After an introduction into the used surface interpolation technique, linear prediction, the development of an automated method for the elimination of gross errors from given surface point clouds is described. Examples for applying those methods on Mars orbiter laser altimeter original points are given and visualized as well as analyzed using different hydrological and mathematical analysis methods. [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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 11957391 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Visualization and topographical analysis of the Mars surface – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dorninger%2C+P%2E%22">Dorninger, P.</searchLink><i> pdo@ipf.tuwien.ac.at</i><br /><searchLink fieldCode="AR" term="%22Jansa%2C+J%2E%22">Jansa, J.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Briese%2C+Ch%2E%22">Briese, Ch.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Planetary+%26+Space+Science%22">Planetary & Space Science</searchLink>. Jan2004, Vol. 52 Issue 1-3, p249. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Mars+surface+samples%22">Mars surface samples</searchLink><br /><searchLink fieldCode="DE" term="%22Martian+exploration%22">Martian exploration</searchLink><br /><searchLink fieldCode="DE" term="%22Mars+%28Planet%29%22">Mars (Planet)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The Institute of Photogrammetry and Remote Sensing has more than 30 years of experience in computation, visualization and analysis of digital terrain data. Most of the developed methods and algorithms are implemented in the software application SCOP++ and tested on Earth datasets. Due to the institute''s involvement into Mars Express, these methods have been used for non-terrestrial applications for the first time. One of the primary aims has always been the capability to deal with countrywide datasets. So it was no problem to handle the large amount of Mars-related datasets. Nevertheless several changes and adaptations were necessary to use the given algorithms.After an introduction into the used surface interpolation technique, linear prediction, the development of an automated method for the elimination of gross errors from given surface point clouds is described. Examples for applying those methods on Mars orbiter laser altimeter original points are given and visualized as well as analyzed using different hydrological and mathematical analysis methods. [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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.pss.2003.08.017 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 249 Subjects: – SubjectFull: Remote sensing Type: general – SubjectFull: Mars surface samples Type: general – SubjectFull: Martian exploration Type: general – SubjectFull: Mars (Planet) Type: general Titles: – TitleFull: Visualization and topographical analysis of the Mars surface Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dorninger, P. – PersonEntity: Name: NameFull: Jansa, J. – PersonEntity: Name: NameFull: Briese, Ch. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2004 Type: published Y: 2004 Identifiers: – Type: issn-print Value: 00320633 Numbering: – Type: volume Value: 52 – Type: issue Value: 1-3 Titles: – TitleFull: Planetary & Space Science Type: main |
| ResultId | 1 |