Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74222
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorLiu, WCen_US
dc.creatorWu, Ben_US
dc.date.accessioned2018-03-29T07:16:24Z-
dc.date.available2018-03-29T07:16:24Z-
dc.identifier.issn1682-1750en_US
dc.identifier.urihttp://hdl.handle.net/10397/74222-
dc.description2017 International Symposium on Planetary Remote Sensing and Mapping, PRSM 2017, 13 - 16 August 2017en_US
dc.language.isoenen_US
dc.publisherCopernicus GmbHen_US
dc.rights© Authors 2017. CC BY 4.0 License.en_US
dc.subjectDEMen_US
dc.subjectLROC NACen_US
dc.subjectMoonen_US
dc.subjectPhotometric stereoen_US
dc.subjectShape and albedo from shadingen_US
dc.titlePhotometric stereo shape-and-albedo-from-shading for pixel-level resolution lunar surface reconstructionen_US
dc.typeConference Paperen_US
dc.identifier.spage91en_US
dc.identifier.epage97en_US
dc.identifier.volume42en_US
dc.identifier.issue3W1en_US
dc.identifier.doi10.5194/isprs-archives-XLII-3-W1-91-2017en_US
dcterms.abstractShape and Albedo from Shading (SAfS) techniques recover pixel-wise surface details based on the relationship between terrain slopes, illumination and imaging geometry, and the energy response (i.e., image intensity) captured by the sensing system. Multiple images with different illumination geometries (i.e., photometric stereo) can provide better SAfS surface reconstruction due to the increase in observations. Photometric stereo SAfS is suitable for detailed surface reconstruction of the Moon and other extra-terrestrial bodies due to the availability of photometric stereo and the less complex surface reflecting properties (i.e., albedo) of the target bodies as compared to the Earth. Considering only one photometric stereo pair (i.e., two images), pixel-variant albedo is still a major obstacle to satisfactory reconstruction and it needs to be regulated by the SAfS algorithm. The illumination directional difference between the two images also becomes an important factor affecting the reconstruction quality. This paper presents a photometric stereo SAfS algorithm for pixel-level resolution lunar surface reconstruction. The algorithm includes a hierarchical optimization architecture for handling pixel-variant albedo and improving performance. With the use of Lunar Reconnaissance Orbiter Camera - Narrow Angle Camera (LROC NAC) photometric stereo images, the reconstructed topography (i.e., the DEM) is compared with the DEM produced independently by photogrammetric methods. This paper also addresses the effect of illumination directional difference in between one photometric stereo pair on the reconstruction quality of the proposed algorithm by both mathematical and experimental analysis. In this case, LROC NAC images under multiple illumination directions are utilized by the proposed algorithm for experimental comparison. The mathematical derivation suggests an illumination azimuthal difference of 90 degrees between two images is recommended to achieve minimal error in SAfS reconstruction while results using real data presents similar pattern. Although the algorithm is designed for lunar surface reconstruction, it is likely to be applicable on other extra-terrestrial bodies such as Mars. The results and findings from this research is of significance for the practical use of photometric stereo and SAfS in the domain of planetary remote sensing and mapping.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational archives of the photogrammetry, remote sensing and spatial information sciences, 2017, v. 42, no. 3W1, p. 91-97en_US
dcterms.isPartOfInternational archives of the photogrammetry, remote sensing and spatial information sciencesen_US
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85027831344-
dc.relation.conferenceInternational Symposium on Planetary Remote Sensing and Mapping [PRSM]en_US
dc.identifier.eissn2194-9034en_US
dc.identifier.rosgroupid2017005155-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201802 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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