Automatic feature extraction and stereo image processing with genetic algorithms for LiDAR data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the Conference on Computer Graphics, Imaging and Vision
Subtitle of host publicationNew Trends 2005
Pages307-309
Number of pages3
DOIs
Publication statusPublished - 2005 Dec 1
Event2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005 - Beijing, China
Duration: 2005 Jul 262005 Jul 29

Publication series

NameProceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005
Volume2005

Other

Other2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005
CountryChina
CityBeijing
Period05-07-2605-07-29

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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