Subpixel-Scale Topography Retrieval of Mars Using Single-Image DTM Estimation and Super-Resolution Restoration

Tao, Yu; Xiong, Siting; Muller, Jan-Peter; Michael, Greg; Conway, Susan J.; Paar, Gerhard; Cremonese, Gabriele; Thomas, Nicolas (2022). Subpixel-Scale Topography Retrieval of Mars Using Single-Image DTM Estimation and Super-Resolution Restoration. Remote sensing, 14(2), p. 257. Molecular Diversity Preservation International MDPI 10.3390/rs14020257

[img]
Preview
Text
remotesensing-14-00257.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (8MB) | Preview

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.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Physics Institute > Space Research and Planetary Sciences
08 Faculty of Science > Physics Institute
08 Faculty of Science > Physics Institute > NCCR PlanetS

UniBE Contributor:

Thomas, Nicolas

Subjects:

500 Science > 520 Astronomy
600 Technology > 620 Engineering

ISSN:

2072-4292

Publisher:

Molecular Diversity Preservation International MDPI

Language:

English

Submitter:

Dora Ursula Zimmerer

Date Deposited:

24 Mar 2022 15:04

Last Modified:

05 Dec 2022 16:13

Publisher DOI:

10.3390/rs14020257

BORIS DOI:

10.48350/166812

URI:

https://boris.unibe.ch/id/eprint/166812

Actions (login required)

Edit item Edit item
Provide Feedback