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 |
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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 |
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