3D Lunar Terrain Reconstruction from Apollo Images

Autor:	Taemin Kim, Michael Broxton, Aleksandr V. Segal, Michael Lundy, Zachary Moratto, Ara V. Nefian
Rok vydání:	2009
Předmět:	Optimal matching business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Terrain Bundle adjustment Least squares Pipeline (software) Image noise Satellite Computer vision Artificial intelligence Digital elevation model business
Zdroj:	Advances in Visual Computing ISBN: 9783642103308 ISVC (1)
Popis:	Generating accurate three dimensional planetary models is becoming increasingly important as NASA plans manned missions to return to the Moon in the next decade. This paper describes a 3D surface reconstruction system called the Ames Stereo Pipeline that is designed to produce such models automatically by processing orbital stereo imagery. We discuss two important core aspects of this system: (1) refinement of satellite station positions and pose estimates through least squares bundle adjustment; and (2) a stochastic plane fitting algorithm that generalizes the Lucas-Kanade method for optimal matching between stereo pair images.. These techniques allow us to automatically produce seamless, highly accurate digital elevation models from multiple stereo image pairs while significantly reducing the influence of image noise. Our technique is demonstrated on a set of 71 high resolution scanned images from the Apollo 15 mission.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ab15e459b44df54e0cc13a2a54cd287f https://doi.org/10.1007/978-3-642-10331-5_66 Zobrazit plný text záznamu