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Image-Based Lunar Surface Reconstruction
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 5748/2009 |
| Book | Pattern Recognition |
| DOI | 10.1007/978-3-642-03798-6 |
| Copyright | 2009 |
| ISBN | 978-3-642-03797-9 |
| DOI | 10.1007/978-3-642-03798-6_39 |
| Pages | 382-391 |
| Subject Collection | Computer Science |
| SpringerLink Date | Wednesday, September 02, 2009 |
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Image-Based Lunar Surface Reconstruction
Stephan Wenger18, Anita Sellent18, Ole Schütt18 and Marcus Magnor18
| (18) |
Computer Graphics Lab, TU Braunschweig, Mühlenpfordtstraße 23, D-38106 Braunschweig, Germany |
Abstract
For the creation of a realistic 3 meter-sized relief globe of the Moon, a detailed height map of the entire lunar surface
is required. Available height measurements of the Moon’s surface are too coarse by a factor of 15 for this purpose. The only
publicly available source of high-resolution information are photographic images from the Lunar Orbiter IV mission in 1967. We present a shape-from-shading approach to plausibly increase the resolution of existing low-resolution
height data, based on a single high-resolution photographic mosaic image of the Moon. The presented reconstruction approach
is designed to be robust with respect to frequent imperfections of the photographic imagery. Aside from the automatic reconstruction
of a complete detailed lunar surface height map, we give a qualitative validation by the reconstruction of lunar surface details
from close-up photographs of the Apollo 15 landing site.
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