국내 최대 기계 및 로봇 연구정보

기술보고서

기술보고서 게시판 내용
타이틀	Lunar Terrain and Albedo Reconstruction from Apollo Imagery
저자	Nefian, Ara V.;; Kim, Taemin;; Broxton, Michael;; Moratto, Zach
Keyword	ALBEDO;; BAYES THEOREM;; CORRELATORS;; DIGITAL ELEVATION MODELS;; IMAGERY;; LUNAR ALBEDO;; MOON;; REFINING;; REFLECTANCE;; ROBOTICS;; TERRAIN;; THREE DIMENSIONAL MODELS;; TOPOGRAPHY
URL	http://hdl.handle.net/2060/20110023704
보고서번호	ARC-E-DAA-TN-2302
발행년도	2010
출처	NTRS (NASA Technical Report Server)
ABSTRACT	Generating accurate three dimensional planetary models and albedo maps is becoming increasingly more important as NASA plans more robotics missions to the Moon in the coming years. This paper describes a novel approach for separation of topography and albedo maps from orbital Lunar images. Our method uses an optimal Bayesian correlator to refine the stereo disparity map and generate a set of accurate digital elevation models (DEM). The albedo maps are obtained using a multi-image formation model that relies on the derived DEMs and the Lunar- Lambert reflectance model. The method is demonstrated on a set of high resolution scanned images from the Apollo era missions.