Single Image Super-Resolution Restoration of TGO CaSSIS Colour Images: Demonstration with Perseverance Rover Landing Site and Mars Science Targets

Autor: Nicolas Thomas, Gabriele Cremonese, Susan J. Conway, Jan-Peter Muller, Alfiah Rizky Diana Putri, Yu Tao
Přispěvatelé: Mullard Space Science Laboratory (MSSL), University College of London [London] (UCL), Laboratoire de Planétologie et Géodynamique [UMR 6112] (LPG), Université d'Angers (UA)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Physikalisches Institut [Bern], Universität Bern [Bern], INAF - Osservatorio Astronomico di Padova (OAPD), Istituto Nazionale di Astrofisica (INAF)
Rok vydání: 2021
Předmět:
010504 meteorology & atmospheric sciences
Science
Cassis
Perseverance
01 natural sciences
SRR
law.invention
Orbiter
Single Image super-resolution restoration
[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology
law
Jezero Crater
Martian surface
0103 physical sciences
Gullies
frost
super-resolution restoration
010303 astronomy & astrophysics
Image resolution
0105 earth and related environmental sciences
Remote sensing
biology
Pixel
520 Astronomy
Resolution (electron density)
RSL
Mars2020
Mars Exploration Program
biology.organism_classification
620 Engineering
Generative Adversarial Network
GAN
[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]
TGO
General Earth and Planetary Sciences
CaSSIS
Generative adversarial network
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Geology
Slope Streaks
Zdroj: Remote Sensing
Remote Sensing, MDPI, 2021, 13 (9), pp.1777. ⟨10.3390/rs13091777⟩
Volume 13
Issue 9
Pages: 1777
Tao, Yu; Conway, Susan J.; Muller, Jan-Peter; Putri, Alfiah R. D.; Thomas, Nicolas; Cremonese, Gabriele (2021). Single Image Super-Resolution Restoration of TGO CaSSIS Colour Images: Demonstration with Perseverance Rover Landing Site and Mars Science Targets. Remote sensing, 13(9), p. 1777. Molecular Diversity Preservation International MDPI 10.3390/rs13091777
Remote Sensing, Vol 13, Iss 1777, p 1777 (2021)
ISSN: 2072-4292
DOI: 10.48350/157646
Popis: International audience; The ExoMars Trace Gas Orbiter (TGO)’s Colour and Stereo Surface Imaging System (CaSSIS) provides multi-spectral optical imagery at 4–5 m/pixel spatial resolution. Improving the spatial resolution of CaSSIS images would allow greater amounts of scientific information to be extracted. In this work, we propose a novel Multi-scale Adaptive weighted Residual Super-resolution Generative Adversarial Network (MARSGAN) for single-image super-resolution restoration of TGO CaSSIS images, and demonstrate how this provides an effective resolution enhancement factor of about 3 times. We demonstrate with qualitative and quantitative assessments of CaSSIS SRR results over the Mars2020 Perseverance rover’s landing site. We also show examples of similar SRR performance over 8 science test sites mainly selected for being covered by HiRISE at higher resolution for comparison, which include many features unique to the Martian surface. Application of MARSGAN will allow high resolution colour imagery from CaSSIS to be obtained over extensive areas of Mars beyond what has been possible to obtain to date from HiRISE.
Databáze: OpenAIRE