{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Elizabeth Foughty", "hasEmail": "mailto:elizabeth.a.foughty@nasa.gov"}, "description": "LUNAR TERRAIN AND ALBEDO RECONSTRUCTION FROM APOLLO\r\nIMAGERY\r\n\r\nARA V NEFIAN*, TAEMIN KIM**, MICHAEL BROXTON**, AND ZACH MORATTO**\r\n\r\nAbstract. Generating accurate three dimensional planetary models and albedo maps is becoming\r\nincreasingly more important as NASA plans more robotics missions to the Moon in the coming\r\nyears. This paper describes a novel approach for separation of topography and albedo maps\r\nfrom orbital Lunar images. Our method uses an optimal Bayesian correlator to refine the stereo\r\ndisparity map and generate a set of accurate digital elevation models (DEM). The albedo maps\r\nare obtained using a multi-image formation model that relies on the derived DEMs and the Lunar-\r\nLambert reflectance model. The method is demonstrated on a set of high resolution scanned\r\nimages from the Apollo era missions.", "distribution": [{"@type": "dcat:Distribution", "description": "LUNAR TERRAIN AND ALBEDO RECONSTRUCTION FROM APOLLO IMAGERY", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/Paper_10_.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "Paper 10 .pdf"}], "identifier": "DASHLINK_232", "issued": "2010-10-13", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/232/", "modified": "2025-03-31", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "LUNAR TERRAIN AND ALBEDO RECONSTRUCTION FROM APOLLO IMAGERY"}