Subpixel-Scale Topography Retrieval of Mars Using Single-Image DTM Estimation and Super-Resolution Restoration Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/rs14020257
We propose using coupled deep learning based super-resolution restoration (SRR) and single-image digital terrain model (DTM) estimation (SDE) methods to produce subpixel-scale topography from single-view ESA Trace Gas Orbiter Colour and Stereo Surface Imaging System (CaSSIS) and NASA Mars Reconnaissance Orbiter High Resolution Imaging Science Experiment (HiRISE) images. We present qualitative and quantitative assessments of the resultant 2 m/pixel CaSSIS SRR DTM mosaic over the ESA and Roscosmos Rosalind Franklin ExoMars rover’s (RFEXM22) planned landing site at Oxia Planum. Quantitative evaluation shows SRR improves the effective resolution of the resultant CaSSIS DTM by a factor of 4 or more, while achieving a fairly good height accuracy measured by root mean squared error (1.876 m) and structural similarity (0.607), compared to the ultra-high-resolution HiRISE SRR DTMs at 12.5 cm/pixel. We make available, along with this paper, the resultant CaSSIS SRR image and SRR DTM mosaics, as well as HiRISE full-strip SRR images and SRR DTMs, to support landing site characterisation and future rover engineering for the RFEXM22.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/rs14020257
- https://www.mdpi.com/2072-4292/14/2/257/pdf?version=1641475856
- OA Status
- gold
- Cited By
- 6
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4206664802
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4206664802Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/rs14020257Digital Object Identifier
- Title
-
Subpixel-Scale Topography Retrieval of Mars Using Single-Image DTM Estimation and Super-Resolution RestorationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-06Full publication date if available
- Authors
-
Yu Tao, Siting Xiong, Jan‐Peter Müller, Greg Michael, Susan J. Conway, Gerhard Paar, G. Cremonese, N. ThomasList of authors in order
- Landing page
-
https://doi.org/10.3390/rs14020257Publisher landing page
- PDF URL
-
https://www.mdpi.com/2072-4292/14/2/257/pdf?version=1641475856Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2072-4292/14/2/257/pdf?version=1641475856Direct OA link when available
- Concepts
-
Subpixel rendering, Orbiter, Geology, Remote sensing, Stereo imaging, Mars Exploration Program, Scale (ratio), Pixel, Terrain, Computer science, Artificial intelligence, Astrobiology, Geography, Cartography, Aerospace engineering, Physics, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
72Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4206664802 |
|---|---|
| doi | https://doi.org/10.3390/rs14020257 |
| ids.doi | https://doi.org/10.3390/rs14020257 |
| ids.openalex | https://openalex.org/W4206664802 |
| fwci | 4.62084528 |
| type | article |
| title | Subpixel-Scale Topography Retrieval of Mars Using Single-Image DTM Estimation and Super-Resolution Restoration |
| awards[0].id | https://openalex.org/G8261180445 |
| awards[0].funder_id | https://openalex.org/F4320321543 |
| awards[0].display_name | |
| awards[0].funder_award_id | 2019M663073 |
| awards[0].funder_display_name | China Postdoctoral Science Foundation |
| awards[1].id | https://openalex.org/G6151509583 |
| awards[1].funder_id | https://openalex.org/F4320325432 |
| awards[1].display_name | |
| awards[1].funder_award_id | ST/S001891/1 |
| awards[1].funder_display_name | United Kingdom Space Agency |
| awards[2].id | https://openalex.org/G2496377866 |
| awards[2].funder_id | https://openalex.org/F4320334632 |
| awards[2].display_name | |
| awards[2].funder_award_id | ST/K000977/1 |
| awards[2].funder_display_name | Science and Technology Facilities Council |
| biblio.issue | 2 |
| biblio.volume | 14 |
| biblio.last_page | 257 |
| biblio.first_page | 257 |
| topics[0].id | https://openalex.org/T10406 |
| topics[0].field.id | https://openalex.org/fields/31 |
| topics[0].field.display_name | Physics and Astronomy |
| topics[0].score | 0.9991999864578247 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3103 |
| topics[0].subfield.display_name | Astronomy and Astrophysics |
| topics[0].display_name | Planetary Science and Exploration |
| topics[1].id | https://openalex.org/T10531 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9983000159263611 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Advanced Vision and Imaging |
| topics[2].id | https://openalex.org/T10191 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9951000213623047 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2202 |
| topics[2].subfield.display_name | Aerospace Engineering |
| topics[2].display_name | Robotics and Sensor-Based Localization |
| funders[0].id | https://openalex.org/F4320321543 |
| funders[0].ror | https://ror.org/0426zh255 |
| funders[0].display_name | China Postdoctoral Science Foundation |
| funders[1].id | https://openalex.org/F4320325432 |
| funders[1].ror | https://ror.org/051sgbe98 |
| funders[1].display_name | United Kingdom Space Agency |
| funders[2].id | https://openalex.org/F4320334632 |
| funders[2].ror | https://ror.org/057g20z61 |
| funders[2].display_name | Science and Technology Facilities Council |
| is_xpac | False |
| apc_list.value | 2500 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2707 |
| apc_paid.value | 2500 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2707 |
| concepts[0].id | https://openalex.org/C68516990 |
| concepts[0].level | 3 |
| concepts[0].score | 0.929091215133667 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q452912 |
| concepts[0].display_name | Subpixel rendering |
| concepts[1].id | https://openalex.org/C2776481522 |
| concepts[1].level | 2 |
| concepts[1].score | 0.8196239471435547 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q40218 |
| concepts[1].display_name | Orbiter |
| concepts[2].id | https://openalex.org/C127313418 |
| concepts[2].level | 0 |
| concepts[2].score | 0.699212908744812 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[2].display_name | Geology |
| concepts[3].id | https://openalex.org/C62649853 |
| concepts[3].level | 1 |
| concepts[3].score | 0.6769515872001648 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[3].display_name | Remote sensing |
| concepts[4].id | https://openalex.org/C2776122016 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6402311325073242 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7611221 |
| concepts[4].display_name | Stereo imaging |
| concepts[5].id | https://openalex.org/C83260615 |
| concepts[5].level | 2 |
| concepts[5].score | 0.6060945987701416 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q6773121 |
| concepts[5].display_name | Mars Exploration Program |
| concepts[6].id | https://openalex.org/C2778755073 |
| concepts[6].level | 2 |
| concepts[6].score | 0.45047199726104736 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q10858537 |
| concepts[6].display_name | Scale (ratio) |
| concepts[7].id | https://openalex.org/C160633673 |
| concepts[7].level | 2 |
| concepts[7].score | 0.421943724155426 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q355198 |
| concepts[7].display_name | Pixel |
| concepts[8].id | https://openalex.org/C161840515 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4170120358467102 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q186131 |
| concepts[8].display_name | Terrain |
| concepts[9].id | https://openalex.org/C41008148 |
| concepts[9].level | 0 |
| concepts[9].score | 0.20319348573684692 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[9].display_name | Computer science |
| concepts[10].id | https://openalex.org/C154945302 |
| concepts[10].level | 1 |
| concepts[10].score | 0.18609720468521118 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[10].display_name | Artificial intelligence |
| concepts[11].id | https://openalex.org/C87355193 |
| concepts[11].level | 1 |
| concepts[11].score | 0.1470595896244049 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q411 |
| concepts[11].display_name | Astrobiology |
| concepts[12].id | https://openalex.org/C205649164 |
| concepts[12].level | 0 |
| concepts[12].score | 0.09984001517295837 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[12].display_name | Geography |
| concepts[13].id | https://openalex.org/C58640448 |
| concepts[13].level | 1 |
| concepts[13].score | 0.09349068999290466 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q42515 |
| concepts[13].display_name | Cartography |
| concepts[14].id | https://openalex.org/C146978453 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q3798668 |
| concepts[14].display_name | Aerospace engineering |
| concepts[15].id | https://openalex.org/C121332964 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[15].display_name | Physics |
| concepts[16].id | https://openalex.org/C127413603 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[16].display_name | Engineering |
| keywords[0].id | https://openalex.org/keywords/subpixel-rendering |
| keywords[0].score | 0.929091215133667 |
| keywords[0].display_name | Subpixel rendering |
| keywords[1].id | https://openalex.org/keywords/orbiter |
| keywords[1].score | 0.8196239471435547 |
| keywords[1].display_name | Orbiter |
| keywords[2].id | https://openalex.org/keywords/geology |
| keywords[2].score | 0.699212908744812 |
| keywords[2].display_name | Geology |
| keywords[3].id | https://openalex.org/keywords/remote-sensing |
| keywords[3].score | 0.6769515872001648 |
| keywords[3].display_name | Remote sensing |
| keywords[4].id | https://openalex.org/keywords/stereo-imaging |
| keywords[4].score | 0.6402311325073242 |
| keywords[4].display_name | Stereo imaging |
| keywords[5].id | https://openalex.org/keywords/mars-exploration-program |
| keywords[5].score | 0.6060945987701416 |
| keywords[5].display_name | Mars Exploration Program |
| keywords[6].id | https://openalex.org/keywords/scale |
| keywords[6].score | 0.45047199726104736 |
| keywords[6].display_name | Scale (ratio) |
| keywords[7].id | https://openalex.org/keywords/pixel |
| keywords[7].score | 0.421943724155426 |
| keywords[7].display_name | Pixel |
| keywords[8].id | https://openalex.org/keywords/terrain |
| keywords[8].score | 0.4170120358467102 |
| keywords[8].display_name | Terrain |
| keywords[9].id | https://openalex.org/keywords/computer-science |
| keywords[9].score | 0.20319348573684692 |
| keywords[9].display_name | Computer science |
| keywords[10].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[10].score | 0.18609720468521118 |
| keywords[10].display_name | Artificial intelligence |
| keywords[11].id | https://openalex.org/keywords/astrobiology |
| keywords[11].score | 0.1470595896244049 |
| keywords[11].display_name | Astrobiology |
| keywords[12].id | https://openalex.org/keywords/geography |
| keywords[12].score | 0.09984001517295837 |
| keywords[12].display_name | Geography |
| keywords[13].id | https://openalex.org/keywords/cartography |
| keywords[13].score | 0.09349068999290466 |
| keywords[13].display_name | Cartography |
| language | en |
| locations[0].id | doi:10.3390/rs14020257 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S43295729 |
| locations[0].source.issn | 2072-4292 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2072-4292 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Remote Sensing |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/2072-4292/14/2/257/pdf?version=1641475856 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Remote Sensing |
| locations[0].landing_page_url | https://doi.org/10.3390/rs14020257 |
| locations[1].id | pmh:oai:HAL:hal-03537853v1 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306402512 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | HAL (Le Centre pour la Communication Scientifique Directe) |
| locations[1].source.host_organization | https://openalex.org/I1294671590 |
| locations[1].source.host_organization_name | Centre National de la Recherche Scientifique |
| locations[1].source.host_organization_lineage | https://openalex.org/I1294671590 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Journal articles |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Remote Sensing, 2022, Planetary 3D Mapping, Remote Sensing and Machine Learning, 14 (2), pp.257. ⟨10.3390/rs14020257⟩ |
| locations[1].landing_page_url | https://hal.science/hal-03537853 |
| locations[2].id | pmh:oai:doaj.org/article:5d567344831947be922921334c6931f7 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | cc-by-sa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Remote Sensing, Vol 14, Iss 2, p 257 (2022) |
| locations[2].landing_page_url | https://doaj.org/article/5d567344831947be922921334c6931f7 |
| locations[3].id | pmh:oai:mdpi.com:/2072-4292/14/2/257/ |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306400947 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | True |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | MDPI (MDPI AG) |
| locations[3].source.host_organization | https://openalex.org/I4210097602 |
| locations[3].source.host_organization_name | Multidisciplinary Digital Publishing Institute (Switzerland) |
| locations[3].source.host_organization_lineage | https://openalex.org/I4210097602 |
| locations[3].license | cc-by |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/cc-by |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Remote Sensing; Volume 14; Issue 2; Pages: 257 |
| locations[3].landing_page_url | https://dx.doi.org/10.3390/rs14020257 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5032230594 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9170-6655 |
| authorships[0].author.display_name | Yu Tao |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I45129253 |
| authorships[0].affiliations[0].raw_affiliation_string | Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St Mary, Surrey RH5 6NT, UK |
| authorships[0].institutions[0].id | https://openalex.org/I45129253 |
| authorships[0].institutions[0].ror | https://ror.org/02jx3x895 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I124357947, https://openalex.org/I45129253 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | University College London |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yu Tao |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St Mary, Surrey RH5 6NT, UK |
| authorships[1].author.id | https://openalex.org/A5042413003 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1054-121X |
| authorships[1].author.display_name | Siting Xiong |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I180726961, https://openalex.org/I211433327 |
| authorships[1].affiliations[0].raw_affiliation_string | Ministry of Natural Resources Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I180726961 |
| authorships[1].affiliations[1].raw_affiliation_string | College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China |
| authorships[1].institutions[0].id | https://openalex.org/I211433327 |
| authorships[1].institutions[0].ror | https://ror.org/02kxqx159 |
| authorships[1].institutions[0].type | government |
| authorships[1].institutions[0].lineage | https://openalex.org/I211433327, https://openalex.org/I4210127390 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Ministry of Natural Resources |
| authorships[1].institutions[1].id | https://openalex.org/I180726961 |
| authorships[1].institutions[1].ror | https://ror.org/01vy4gh70 |
| authorships[1].institutions[1].type | education |
| authorships[1].institutions[1].lineage | https://openalex.org/I180726961 |
| authorships[1].institutions[1].country_code | CN |
| authorships[1].institutions[1].display_name | Shenzhen University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Siting Xiong |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China, Ministry of Natural Resources Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China |
| authorships[2].author.id | https://openalex.org/A5026635713 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5077-3736 |
| authorships[2].author.display_name | Jan‐Peter Müller |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I45129253 |
| authorships[2].affiliations[0].raw_affiliation_string | Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St Mary, Surrey RH5 6NT, UK |
| authorships[2].institutions[0].id | https://openalex.org/I45129253 |
| authorships[2].institutions[0].ror | https://ror.org/02jx3x895 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I124357947, https://openalex.org/I45129253 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | University College London |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Jan-Peter Muller |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St Mary, Surrey RH5 6NT, UK |
| authorships[3].author.id | https://openalex.org/A5000742525 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-2612-6694 |
| authorships[3].author.display_name | Greg Michael |
| authorships[3].countries | DE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I75951250 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Geosciences, Institute for Geological Sciences, Planetary Sciences and Remote Sensing, Freie Universität Berlin, 12249 Berlin, Germany |
| authorships[3].institutions[0].id | https://openalex.org/I75951250 |
| authorships[3].institutions[0].ror | https://ror.org/046ak2485 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I75951250 |
| authorships[3].institutions[0].country_code | DE |
| authorships[3].institutions[0].display_name | Freie Universität Berlin |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Greg Michael |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Geosciences, Institute for Geological Sciences, Planetary Sciences and Remote Sensing, Freie Universität Berlin, 12249 Berlin, Germany |
| authorships[4].author.id | https://openalex.org/A5008201742 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-0577-2312 |
| authorships[4].author.display_name | Susan J. Conway |
| authorships[4].countries | FR |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I1294671590, https://openalex.org/I4210146808, https://openalex.org/I97188460 |
| authorships[4].affiliations[0].raw_affiliation_string | Laboratoire de Planétologie et Géodynamique, CNRS, UMR 6112, Université de Nantes, 44300 Nantes, France |
| authorships[4].institutions[0].id | https://openalex.org/I1294671590 |
| authorships[4].institutions[0].ror | https://ror.org/02feahw73 |
| authorships[4].institutions[0].type | government |
| authorships[4].institutions[0].lineage | https://openalex.org/I1294671590 |
| authorships[4].institutions[0].country_code | FR |
| authorships[4].institutions[0].display_name | Centre National de la Recherche Scientifique |
| authorships[4].institutions[1].id | https://openalex.org/I4210146808 |
| authorships[4].institutions[1].ror | https://ror.org/04fm0sh33 |
| authorships[4].institutions[1].type | facility |
| authorships[4].institutions[1].lineage | https://openalex.org/I124158823, https://openalex.org/I1294671590, https://openalex.org/I1294671590, https://openalex.org/I1294671590, https://openalex.org/I205703379, https://openalex.org/I2799535048, https://openalex.org/I4210108471, https://openalex.org/I4210127572, https://openalex.org/I4210134562, https://openalex.org/I4210145102, https://openalex.org/I4210146808, https://openalex.org/I4210148025, https://openalex.org/I4210148025, https://openalex.org/I4387153462, https://openalex.org/I49451733, https://openalex.org/I49451733, https://openalex.org/I97188460, https://openalex.org/I97188460 |
| authorships[4].institutions[1].country_code | FR |
| authorships[4].institutions[1].display_name | Laboratoire de Planétologie et Géosciences |
| authorships[4].institutions[2].id | https://openalex.org/I97188460 |
| authorships[4].institutions[2].ror | https://ror.org/03gnr7b55 |
| authorships[4].institutions[2].type | education |
| authorships[4].institutions[2].lineage | https://openalex.org/I97188460 |
| authorships[4].institutions[2].country_code | FR |
| authorships[4].institutions[2].display_name | Nantes Université |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Susan J. Conway |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Laboratoire de Planétologie et Géodynamique, CNRS, UMR 6112, Université de Nantes, 44300 Nantes, France |
| authorships[5].author.id | https://openalex.org/A5003493585 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-3198-8640 |
| authorships[5].author.display_name | Gerhard Paar |
| authorships[5].countries | AT |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I13402291 |
| authorships[5].affiliations[0].raw_affiliation_string | Joanneum Research, Steyrergasse 17, 8010 Graz, Austria |
| authorships[5].institutions[0].id | https://openalex.org/I13402291 |
| authorships[5].institutions[0].ror | https://ror.org/049bdss47 |
| authorships[5].institutions[0].type | facility |
| authorships[5].institutions[0].lineage | https://openalex.org/I13402291 |
| authorships[5].institutions[0].country_code | AT |
| authorships[5].institutions[0].display_name | Joanneum Research |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Gerhard Paar |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Joanneum Research, Steyrergasse 17, 8010 Graz, Austria |
| authorships[6].author.id | https://openalex.org/A5042977409 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-9021-1140 |
| authorships[6].author.display_name | G. Cremonese |
| authorships[6].countries | IT |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I4210159647 |
| authorships[6].affiliations[0].raw_affiliation_string | INAF, Osservatorio Astronomico di Padova, 35122 Padova, Italy |
| authorships[6].institutions[0].id | https://openalex.org/I4210159647 |
| authorships[6].institutions[0].ror | https://ror.org/04z3y3f62 |
| authorships[6].institutions[0].type | facility |
| authorships[6].institutions[0].lineage | https://openalex.org/I4210159647, https://openalex.org/I875825670 |
| authorships[6].institutions[0].country_code | IT |
| authorships[6].institutions[0].display_name | Osservatorio Astronomico di Padova |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Gabriele Cremonese |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | INAF, Osservatorio Astronomico di Padova, 35122 Padova, Italy |
| authorships[7].author.id | https://openalex.org/A5086198199 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-0146-0071 |
| authorships[7].author.display_name | N. Thomas |
| authorships[7].countries | CH |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I118564535 |
| authorships[7].affiliations[0].raw_affiliation_string | Physikalisches Institut, Universität Bern, Siedlerstrasse 5, 3012 Bern, Switzerland |
| authorships[7].institutions[0].id | https://openalex.org/I118564535 |
| authorships[7].institutions[0].ror | https://ror.org/02k7v4d05 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I118564535 |
| authorships[7].institutions[0].country_code | CH |
| authorships[7].institutions[0].display_name | University of Bern |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Nicolas Thomas |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Physikalisches Institut, Universität Bern, Siedlerstrasse 5, 3012 Bern, Switzerland |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/2072-4292/14/2/257/pdf?version=1641475856 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Subpixel-Scale Topography Retrieval of Mars Using Single-Image DTM Estimation and Super-Resolution Restoration |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10406 |
| primary_topic.field.id | https://openalex.org/fields/31 |
| primary_topic.field.display_name | Physics and Astronomy |
| primary_topic.score | 0.9991999864578247 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3103 |
| primary_topic.subfield.display_name | Astronomy and Astrophysics |
| primary_topic.display_name | Planetary Science and Exploration |
| related_works | https://openalex.org/W2369528593, https://openalex.org/W2385629811, https://openalex.org/W3161345278, https://openalex.org/W2990005978, https://openalex.org/W3107207333, https://openalex.org/W1506448886, https://openalex.org/W2089968818, https://openalex.org/W2133469533, https://openalex.org/W42608200, https://openalex.org/W1617253644 |
| cited_by_count | 6 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 3 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3390/rs14020257 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S43295729 |
| best_oa_location.source.issn | 2072-4292 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2072-4292 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Remote Sensing |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/2072-4292/14/2/257/pdf?version=1641475856 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Remote Sensing |
| best_oa_location.landing_page_url | https://doi.org/10.3390/rs14020257 |
| primary_location.id | doi:10.3390/rs14020257 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S43295729 |
| primary_location.source.issn | 2072-4292 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2072-4292 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Remote Sensing |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2072-4292/14/2/257/pdf?version=1641475856 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Remote Sensing |
| primary_location.landing_page_url | https://doi.org/10.3390/rs14020257 |
| publication_date | 2022-01-06 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2009495391, https://openalex.org/W2095232025, https://openalex.org/W1963943000, https://openalex.org/W2292799737, https://openalex.org/W2044250018, https://openalex.org/W3104936951, https://openalex.org/W2067745889, https://openalex.org/W2065043615, https://openalex.org/W1972414193, https://openalex.org/W2087153461, https://openalex.org/W2045323482, https://openalex.org/W2057911607, https://openalex.org/W6636493758, https://openalex.org/W2076509405, https://openalex.org/W2282278185, https://openalex.org/W2772250494, https://openalex.org/W2028483491, https://openalex.org/W2322744842, https://openalex.org/W2888945633, https://openalex.org/W2794151468, https://openalex.org/W3150060591, https://openalex.org/W2977276443, https://openalex.org/W2990021612, https://openalex.org/W6784427822, https://openalex.org/W3171909422, https://openalex.org/W3135575958, https://openalex.org/W3186611792, https://openalex.org/W3194781430, https://openalex.org/W3209096893, https://openalex.org/W3159754806, https://openalex.org/W2057817757, https://openalex.org/W2165939075, https://openalex.org/W2200632215, https://openalex.org/W3169803266, https://openalex.org/W3185518044, https://openalex.org/W2979452425, https://openalex.org/W2963372104, https://openalex.org/W2963645458, https://openalex.org/W2214802144, https://openalex.org/W2747898905, https://openalex.org/W2866634454, https://openalex.org/W2963470893, https://openalex.org/W2963037581, https://openalex.org/W2891158090, https://openalex.org/W2989650831, https://openalex.org/W2245606284, https://openalex.org/W2963591054, https://openalex.org/W2124907686, https://openalex.org/W1803059841, https://openalex.org/W1915250530, https://openalex.org/W2343077198, https://openalex.org/W2794968735, https://openalex.org/W3120644635, https://openalex.org/W2793286375, https://openalex.org/W2891048446, https://openalex.org/W2967115342, https://openalex.org/W3118242898, https://openalex.org/W3214301604, https://openalex.org/W3197033978, https://openalex.org/W2133665775, https://openalex.org/W2217315133, https://openalex.org/W2990333948, https://openalex.org/W2803480023, https://openalex.org/W3043605996, https://openalex.org/W3126330180, https://openalex.org/W3180495395, https://openalex.org/W2963446712, https://openalex.org/W1901129140, https://openalex.org/W1686810756, https://openalex.org/W2987150909, https://openalex.org/W3091517847, https://openalex.org/W1621316380 |
| referenced_works_count | 72 |
| abstract_inverted_index.2 | 57 |
| abstract_inverted_index.4 | 96 |
| abstract_inverted_index.a | 93, 101 |
| abstract_inverted_index.We | 0, 48, 128 |
| abstract_inverted_index.as | 144, 146 |
| abstract_inverted_index.at | 76, 125 |
| abstract_inverted_index.by | 92, 107 |
| abstract_inverted_index.m) | 113 |
| abstract_inverted_index.of | 54, 87, 95 |
| abstract_inverted_index.or | 97 |
| abstract_inverted_index.to | 19, 119, 154 |
| abstract_inverted_index.DTM | 61, 91, 142 |
| abstract_inverted_index.ESA | 25, 65 |
| abstract_inverted_index.Gas | 27 |
| abstract_inverted_index.SRR | 60, 82, 123, 138, 141, 149, 152 |
| abstract_inverted_index.and | 10, 30, 36, 51, 66, 114, 140, 151, 159 |
| abstract_inverted_index.for | 163 |
| abstract_inverted_index.the | 55, 64, 84, 88, 120, 135, 164 |
| abstract_inverted_index.12.5 | 126 |
| abstract_inverted_index.DTMs | 124 |
| abstract_inverted_index.High | 41 |
| abstract_inverted_index.Mars | 38 |
| abstract_inverted_index.NASA | 37 |
| abstract_inverted_index.Oxia | 77 |
| abstract_inverted_index.deep | 4 |
| abstract_inverted_index.from | 23 |
| abstract_inverted_index.good | 103 |
| abstract_inverted_index.make | 129 |
| abstract_inverted_index.mean | 109 |
| abstract_inverted_index.over | 63 |
| abstract_inverted_index.root | 108 |
| abstract_inverted_index.site | 75, 157 |
| abstract_inverted_index.this | 133 |
| abstract_inverted_index.well | 145 |
| abstract_inverted_index.with | 132 |
| abstract_inverted_index.(DTM) | 15 |
| abstract_inverted_index.(SDE) | 17 |
| abstract_inverted_index.(SRR) | 9 |
| abstract_inverted_index.DTMs, | 153 |
| abstract_inverted_index.Trace | 26 |
| abstract_inverted_index.along | 131 |
| abstract_inverted_index.based | 6 |
| abstract_inverted_index.error | 111 |
| abstract_inverted_index.image | 139 |
| abstract_inverted_index.model | 14 |
| abstract_inverted_index.more, | 98 |
| abstract_inverted_index.rover | 161 |
| abstract_inverted_index.shows | 81 |
| abstract_inverted_index.using | 2 |
| abstract_inverted_index.while | 99 |
| abstract_inverted_index.(1.876 | 112 |
| abstract_inverted_index.CaSSIS | 59, 90, 137 |
| abstract_inverted_index.Colour | 29 |
| abstract_inverted_index.HiRISE | 122, 147 |
| abstract_inverted_index.Stereo | 31 |
| abstract_inverted_index.System | 34 |
| abstract_inverted_index.factor | 94 |
| abstract_inverted_index.fairly | 102 |
| abstract_inverted_index.future | 160 |
| abstract_inverted_index.height | 104 |
| abstract_inverted_index.images | 150 |
| abstract_inverted_index.mosaic | 62 |
| abstract_inverted_index.paper, | 134 |
| abstract_inverted_index.ExoMars | 70 |
| abstract_inverted_index.Imaging | 33, 43 |
| abstract_inverted_index.Orbiter | 28, 40 |
| abstract_inverted_index.Planum. | 78 |
| abstract_inverted_index.Science | 44 |
| abstract_inverted_index.Surface | 32 |
| abstract_inverted_index.coupled | 3 |
| abstract_inverted_index.digital | 12 |
| abstract_inverted_index.images. | 47 |
| abstract_inverted_index.landing | 74, 156 |
| abstract_inverted_index.m/pixel | 58 |
| abstract_inverted_index.methods | 18 |
| abstract_inverted_index.planned | 73 |
| abstract_inverted_index.present | 49 |
| abstract_inverted_index.produce | 20 |
| abstract_inverted_index.propose | 1 |
| abstract_inverted_index.squared | 110 |
| abstract_inverted_index.support | 155 |
| abstract_inverted_index.terrain | 13 |
| abstract_inverted_index.(0.607), | 117 |
| abstract_inverted_index.(CaSSIS) | 35 |
| abstract_inverted_index.(HiRISE) | 46 |
| abstract_inverted_index.Franklin | 69 |
| abstract_inverted_index.RFEXM22. | 165 |
| abstract_inverted_index.Rosalind | 68 |
| abstract_inverted_index.accuracy | 105 |
| abstract_inverted_index.compared | 118 |
| abstract_inverted_index.improves | 83 |
| abstract_inverted_index.learning | 5 |
| abstract_inverted_index.measured | 106 |
| abstract_inverted_index.mosaics, | 143 |
| abstract_inverted_index.(RFEXM22) | 72 |
| abstract_inverted_index.Roscosmos | 67 |
| abstract_inverted_index.achieving | 100 |
| abstract_inverted_index.cm/pixel. | 127 |
| abstract_inverted_index.effective | 85 |
| abstract_inverted_index.resultant | 56, 89, 136 |
| abstract_inverted_index.rover’s | 71 |
| abstract_inverted_index.Experiment | 45 |
| abstract_inverted_index.Resolution | 42 |
| abstract_inverted_index.available, | 130 |
| abstract_inverted_index.estimation | 16 |
| abstract_inverted_index.evaluation | 80 |
| abstract_inverted_index.full-strip | 148 |
| abstract_inverted_index.resolution | 86 |
| abstract_inverted_index.similarity | 116 |
| abstract_inverted_index.structural | 115 |
| abstract_inverted_index.topography | 22 |
| abstract_inverted_index.assessments | 53 |
| abstract_inverted_index.engineering | 162 |
| abstract_inverted_index.qualitative | 50 |
| abstract_inverted_index.restoration | 8 |
| abstract_inverted_index.single-view | 24 |
| abstract_inverted_index.Quantitative | 79 |
| abstract_inverted_index.quantitative | 52 |
| abstract_inverted_index.single-image | 11 |
| abstract_inverted_index.Reconnaissance | 39 |
| abstract_inverted_index.subpixel-scale | 21 |
| abstract_inverted_index.characterisation | 158 |
| abstract_inverted_index.super-resolution | 7 |
| abstract_inverted_index.ultra-high-resolution | 121 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5032230594 |
| countries_distinct_count | 7 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I45129253 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.4300000071525574 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.78068655 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |