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

fYear

2005

fDate

26-29 July 2005

Firstpage

307

Lastpage

309

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics, Imaging and Vision: New Trends, 2005. International Conference on

Print_ISBN

0-7695-2392-7

Type

conf

DOI

10.1109/CGIV.2005.22

Filename

1521080

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2226923