Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81251
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorHess, M-
dc.creatorWohlfarth, K-
dc.creatorGrumpe, A-
dc.creatorWöhler, C-
dc.creatorRuesch, O-
dc.creatorWu, B-
dc.date.accessioned2019-08-23T08:29:54Z-
dc.date.available2019-08-23T08:29:54Z-
dc.identifier.issn1682-1750-
dc.identifier.urihttp://hdl.handle.net/10397/81251-
dc.description4th ISPRS Geospatial Week 2019, Netherlands, 10-14 June 2019en_US
dc.language.isoenen_US
dc.publisherCopernicus GmbHen_US
dc.rights© Authors 2019. CC BY 4.0 License. This work is distributed under the Creative Commons Attribution 4.0 License.en_US
dc.rightsThe following publication Hess, M., Wohlfarth, K., Grumpe, A., Wöhler, C., Ruesch, O., and Wu, B.: ATMOSPHERICALLY COMPENSATED SHAPE FROM SHADING ON THE MARTIAN SURFACE: TOWARDS THE PERFECT DIGITAL TERRAIN MODEL OF MARS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1405-1411 is available at https://doi.org/10.5194/isprs-archives-XLII-2-W13-1405-2019, 2019en_US
dc.subjectAtmosphereen_US
dc.subjectHemispherical directional reflectanceen_US
dc.subjectMarsen_US
dc.subjectShape from shadingen_US
dc.subjectStereoen_US
dc.titleAtmospherically compensated shape from shading on the martian surface : towards the perfect digital terrain model of marsen_US
dc.typeConference Paperen_US
dc.identifier.spage1405-
dc.identifier.epage1411-
dc.identifier.volume42-
dc.identifier.issue2/W13-
dc.identifier.doi10.5194/isprs-archives-XLII-2-W13-1405-2019-
dcterms.abstractWe have expanded our existing Shape and Albedo from Shading framework which has primarily been used to generate Digital Terrain Models (DTMs) of the Lunar Surface. The extension consists of an atmospheric model such that the approach can be applied to Mars which is covered by a thin atmosphere. The atmospheric model includes attenuation by the atmosphere, diffuse illumination of the surface and scattering from the atmosphere into the direction of the sensor with physically motivated parameters. To estimate the newly introduced atmospheric parameters without additional CRISM measurements, the radiance image and an initializing surface are used. The initial surface is derived from stereo images and serves two purposes. On the one hand, it is the height constraint of the SfS algorithm and on the other hand, it is used for estimating the atmospheric parameters. Relying on this estimation, the aforementioned Shape and Albedo from Shading method is carried out. The results show a considerable improvement compared to DTMs derived with stereo algorithms. The omnipresent stereo artifacts such as pixel locking and mismatches are smoothed out and small details are reconstructed convincingly. The procedure is then compared to the reconstruction without atmospheric compensation. Images in which shadows are present benefit from this method because shadows can now be described by the diffuse illumination of the surface. The reconstruction results indicate the viability of the approach since it can produce convincing DTMs compared to HiRISE ground truth.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational archives of the photogrammetry, remote sensing and spatial information sciences, 2019, v. 42, no. 2/W13, p. 1405-1411-
dcterms.isPartOfInternational archives of the photogrammetry, remote sensing and spatial information sciences-
dcterms.issued2019-
dc.identifier.scopus2-s2.0-85067480112-
dc.relation.conferenceISPRS Geospatial Week-
dc.identifier.eissn2194-9034-
dc.description.validate201908 bcma-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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