Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICIP.2013.6738485 | Image Processing |
Keywords | Field | DocType |
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 | Iterative reconstruction,Surface reconstruction,Lunar soil,Computer science,Albedo,Image processing,Photometry (optics),Selenography,Pixel,Geodesy | Conference |
ISSN | Citations | PageRank |
1522-4880 | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ara V. Nefian | 1 | 73 | 4.31 |
| Alexandrov, O. | 2 | 0 | 0.34 |
| Moratto, Z. | 3 | 0 | 0.34 |
| Taemn Kim | 4 | 382 | 28.18 |