DocumentCode :
3279114
Title :
Photometric Lunar surface reconstruction
Author :
Nefian, A.V. ; Alexandrov, Oleg ; Moratto, Zachary ; Kim, T. ; Beyer, Ross A.
Author_Institution :
NASA Ames Res. Center, Moffett Field, CA, USA
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
2354
Lastpage :
2357
Abstract :
Accurate photometric reconstruction of the Lunar surface is important in the context of upcoming NASA robotic missions to the Moon and in giving a more accurate understanding of the Lunar soil composition. This paper describes a novel approach for joint estimation of Lunar albedo, camera exposure time, and photometric parameters that utilizes an accurate Lunar-Lambertian reflectance model and previously derived Lunar topography of the area visualized during the Apollo missions. The method introduced here is used in creating the largest Lunar albedo map (16% of the Lunar surface) at the resolution of 10 meters/pixel.
Keywords :
albedo; geophysical image processing; image reconstruction; lunar surface; reflectivity; Apollo missions; Lunar albedo map; Lunar soil composition; Lunar topography; Lunar-Lambertian reflectance model; Moon; NASA robotic missions; camera exposure time; joint estimation; photometric Lunar surface reconstruction; photometric parameters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738485
Filename :
6738485
Link To Document :
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