Статья 'A novel method for surface exploration: Super-resolution restoration of Mars repeat-pass orbital imagery' - журнал 'Space Research' - NotaBene.ru
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Space Research
Reference:

A novel method for surface exploration: Super-resolution restoration of Mars repeat-pass orbital imagery

Tao Yu

Research Associate, Imaging Group, Mullard Space Science Laboratory, University College London

RH5 6NT Holmbury St. Mary, Dorking, Surrey, UK

yu.tao@ucl.ac.uk
Muller Jan-Peter

Ph.D. Planetary Meteorology/Astronomy, Professor, Imaging Group, Mullard Space Science Laboratory, University College London

RH5 6NT Holmbury St. Mary, Dorking,  Surrey, UK

j.muller@ucl.ac.uk

DOI:

10.7256/2453-8817.2017.2.22876

Review date:

02-05-2017


Publish date:

01-07-2017


Abstract: Higher resolution imaging data of planetary surfaces is considered desirable by the international community of planetary scientists interested in improving understanding of surface formation processes. However, given various physical constraints from the imaging instruments through to limited bandwidth of transmission one needs to trade-off spatial resolution against bandwidth. Even given optical communications, future imaging systems are unlikely to be able to resolve features smaller than 25 cm on most planetary bodies, such as Mars. In this paper, we propose a novel super-resolution restoration technique, called Gotcha-PDE-TV (GPT), taking advantage of the non-redundant sub-pixel information contained in multiple raw orbital images in order to restore higher resolution imagery. We demonstrate optimality of this technique in planetary image super-resolution restoration with example processing of 8 repeat-pass 25 cm HiRISE images covering the MER-A Spirit rover traverse in Gusev crater to resolve a 5 cm resolution of the area. We assess the “true” resolution of the 5 cm super-resolution restored images using contemporaneous rover Navcam imagery on the surface and an inter-comparison of landmarks in the two sets of imagery.


Keywords: Planetology, Gusev crater, Space Science, Rover, Super-resolution, HiRISE, Repeat-pass, Orbital images, Mars, Planetary Surface
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