Multi-resolution digital terrain models and their potential for Mars landing site assessments.
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| Title: | Multi-resolution digital terrain models and their potential for Mars landing site assessments. |
|---|---|
| Authors: | Kim, Jung-Rack1 kjrr001@gmail.com, Lin, Shih-Yuan1, Muller, Jan-Peter1, Warner, Nicholas H.2, Gupta, Sanjeev2 |
| Source: | Planetary & Space Science. Sep2013, Vol. 85, p89-105. 17p. |
| Subjects: | Resolution (Chemistry), Digital elevation models, Mars landing sites, Topographic maps, Hyperspectral imaging systems, Mars (Planet) |
| Abstract: | Abstract: One of the key issues for planetary, especially Mars surface exploration, is how to make an objective assessment of criteria for landing sites selection for future rovers, sample return missions and landers considering topographic variables such as slope, altitude and roughness as well as their physical scattering properties. For these purposes, stereo vision analysis is here proposed as the best possible solution to provide reliable topographic data. Recently, a number of successful orbital missions to Mars have taken place including the Mars Express mission with the High Resolution Stereo Camera (HRSC) as well as the Mars Reconnaissance Orbiter spacecraft equipped with two major cameras—Context Camera (CTX) and High Resolution Imaging Science Experiment (HiRISE). A stereo processing chain has been developed to generate high quality Digital Terrain Models (DTMs)—up to a maximum grid spacing of 0.7m with HiRISE, 10m with CTX and 25m with HRSC along with terrain-corrected ortho rectified images. Applying this system, topographic datasets were produced over potential landing sites, which had been previously proposed based mainly on their purported geological significance. High (<10m) and ultra-high (<4m) resolution DTMs from stereo imagery were employed to confirm mainly topographical hazard free landing sites from an engineering standpoint as well as to assess the geology of the target areas. In particular, the Minimum Noise Fraction (MNF) approach has been applied to assess landing risks quantitatively based on the surface roughness of the resultant topographic products. In future, it is expected that topographic products can be integrated with other data sources such as hyperspectral imagery, radar backscattering and laser beam broadening in order to provide the physical properties for the landing site selection as well. [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: 89897778 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-resolution digital terrain models and their potential for Mars landing site assessments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kim%2C+Jung-Rack%22">Kim, Jung-Rack</searchLink><relatesTo>1</relatesTo><i> kjrr001@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Shih-Yuan%22">Lin, Shih-Yuan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Muller%2C+Jan-Peter%22">Muller, Jan-Peter</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Warner%2C+Nicholas+H%2E%22">Warner, Nicholas H.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Gupta%2C+Sanjeev%22">Gupta, Sanjeev</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Planetary+%26+Space+Science%22">Planetary & Space Science</searchLink>. Sep2013, Vol. 85, p89-105. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Resolution+%28Chemistry%29%22">Resolution (Chemistry)</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+elevation+models%22">Digital elevation models</searchLink><br /><searchLink fieldCode="DE" term="%22Mars+landing+sites%22">Mars landing sites</searchLink><br /><searchLink fieldCode="DE" term="%22Topographic+maps%22">Topographic maps</searchLink><br /><searchLink fieldCode="DE" term="%22Hyperspectral+imaging+systems%22">Hyperspectral imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mars+%28Planet%29%22">Mars (Planet)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: One of the key issues for planetary, especially Mars surface exploration, is how to make an objective assessment of criteria for landing sites selection for future rovers, sample return missions and landers considering topographic variables such as slope, altitude and roughness as well as their physical scattering properties. For these purposes, stereo vision analysis is here proposed as the best possible solution to provide reliable topographic data. Recently, a number of successful orbital missions to Mars have taken place including the Mars Express mission with the High Resolution Stereo Camera (HRSC) as well as the Mars Reconnaissance Orbiter spacecraft equipped with two major cameras—Context Camera (CTX) and High Resolution Imaging Science Experiment (HiRISE). A stereo processing chain has been developed to generate high quality Digital Terrain Models (DTMs)—up to a maximum grid spacing of 0.7m with HiRISE, 10m with CTX and 25m with HRSC along with terrain-corrected ortho rectified images. Applying this system, topographic datasets were produced over potential landing sites, which had been previously proposed based mainly on their purported geological significance. High (<10m) and ultra-high (<4m) resolution DTMs from stereo imagery were employed to confirm mainly topographical hazard free landing sites from an engineering standpoint as well as to assess the geology of the target areas. In particular, the Minimum Noise Fraction (MNF) approach has been applied to assess landing risks quantitatively based on the surface roughness of the resultant topographic products. In future, it is expected that topographic products can be integrated with other data sources such as hyperspectral imagery, radar backscattering and laser beam broadening in order to provide the physical properties for the landing site selection as well. [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.2013.06.001 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 89 Subjects: – SubjectFull: Resolution (Chemistry) Type: general – SubjectFull: Digital elevation models Type: general – SubjectFull: Mars landing sites Type: general – SubjectFull: Topographic maps Type: general – SubjectFull: Hyperspectral imaging systems Type: general – SubjectFull: Mars (Planet) Type: general Titles: – TitleFull: Multi-resolution digital terrain models and their potential for Mars landing site assessments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, Jung-Rack – PersonEntity: Name: NameFull: Lin, Shih-Yuan – PersonEntity: Name: NameFull: Muller, Jan-Peter – PersonEntity: Name: NameFull: Warner, Nicholas H. – PersonEntity: Name: NameFull: Gupta, Sanjeev IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 00320633 Numbering: – Type: volume Value: 85 Titles: – TitleFull: Planetary & Space Science Type: main |
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