Seamless 3 D image mapping and mosaicing of valles marineris on mars using orbital HRSC stereo and panchromatic images

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Yu Tao, Greg Michael, Jan-Peter Muller, Susan J. Conway, Alfiah R. D. Putri

2021 Remote Sensing Vol. 13 Issue 7 Article Cited by 13 SDG 17SDG 13 Quartile

Abstract

A seamless mosaic has been constructed including a 3 D terrain model at 50 m grid-spacing and a corresponding terrain-corrected orthoimage at 12.5 m using a novel approach applied to ESA Mars Express High Resolution Stereo Camera orbital (HRSC) images of Mars. This method consists of blending and harmonising 3 D models and normalising reflectance to a global albedo map. Eleven HRSC image sets were processed to Digital Terrain Models (DTM) based on an opensource stereo photogrammetric package called CASP-GO and merged with 71 published DTMs from the HRSC team. In order to achieve high quality and complete DTM coverage, a new method was developed to combine data derived from different stereo matching approaches to achieve a uniform outcome. This new approach was developed for high-accuracy data fusion of different DTMs at dissimilar grid-spacing and provenance which employs joint 3 D and image co-registration, and B-spline fitting against the global Mars Orbiter Laser Altimeter (MOLA) standard reference. Each HRSC strip is normalised against a global albedo map to ensure that the very different lighting conditions could be corrected and resulting in a tiled set of seamless mosaics. The final 3 D terrain model is compared against the MOLA height reference and the results shown of this intercomparison both in altitude and planum. Visualisation and access mechanisms to the final open access products are described. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Affiliations

Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St Mary, Surrey, RH5 6 NT, United Kingdom; Department of Geosciences, Institute for Geological Sciences, Planetary Sciences and Remote Sensing, Freie Universität Berlin, Berlin, 12249, Germany; Laboratoire de Planétologie et Géodynamique, CNRS, UMR 6112, Université de Nantes, Nantes, 44300, France; Department of Atmospheric and Planetary Sciences, Sumatera Institute of Technology (ITERA), Lampung, 35365, Indonesia

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