Title :
Automatic feature extraction and stereo image processing with genetic algorithms for LiDAR data
Author :
Yu, Teng-to ; Yang, Ming ; Chen, Chao-Shi
Author_Institution :
Satellite Geoinformatics Res. Center, Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
Aerial photos with LiDAR data were processed with genetic algorithms for not only the feature extraction but also orthographical image. DSM provided by LiDAR reduced the amount of GCPs needed for the regular processing, thus the reason both of the efficiency and accuracy are highly improved.
Keywords :
feature extraction; genetic algorithms; optical radar; stereo image processing; LiDAR data; automatic feature extraction; genetic algorithm; orthographical image; stereo image processing; Aircraft navigation; Digital cameras; Feature extraction; Genetic algorithms; Global Positioning System; Image processing; Laser radar; Pixel; Stereo vision; Virtual reality; Feature Extraction; GA; LiDAR;
Conference_Titel :
Computer Graphics, Imaging and Vision: New Trends, 2005. International Conference on
Print_ISBN :
0-7695-2392-7
DOI :
10.1109/CGIV.2005.22
