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

Ting-To Yu; Ming Yang; Chao-Shi Chen

doi:10.1109/CGIV.2005.22

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

Ting-To Yu, Ming Yang, Chao-Shi Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings of the Conference on Computer Graphics, Imaging and Vision
Subtitle of host publication	New Trends 2005
Pages	307-309
Number of pages	3
DOIs	https://doi.org/10.1109/CGIV.2005.22
Publication status	Published - 2005 Dec 1
Event	2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005 - Beijing, China Duration: 2005 Jul 26 → 2005 Jul 29

Publication series

Name	Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005
Volume	2005

Other

Other	2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005
Country/Territory	China
City	Beijing
Period	05-07-26 → 05-07-29

All Science Journal Classification (ASJC) codes

General Engineering

Access to Document

10.1109/CGIV.2005.22

Cite this

Yu, T.-T., Yang, M., & Chen, C.-S. (2005). Automatic feature extraction and stereo image processing with genetic algorithms for LiDAR data. In Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005 (pp. 307-309). Article 1521080 (Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005; Vol. 2005). https://doi.org/10.1109/CGIV.2005.22

@inproceedings{032b10b54d40481c9f9e5dba0b89f335,

title = "Automatic feature extraction and stereo image processing with genetic algorithms for LiDAR data",

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.",

author = "Ting-To Yu and Ming Yang and Chao-Shi Chen",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/CGIV.2005.22",

language = "English",

isbn = "0769523927",

series = "Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005",

pages = "307--309",

booktitle = "Proceedings of the Conference on Computer Graphics, Imaging and Vision",

note = "2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005 ; Conference date: 26-07-2005 Through 29-07-2005",

}

Yu, T-T , Yang, M & Chen, C-S 2005, Automatic feature extraction and stereo image processing with genetic algorithms for LiDAR data. in Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005., 1521080, Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005, vol. 2005, pp. 307-309, 2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005, Beijing, China, 05-07-26. https://doi.org/10.1109/CGIV.2005.22

Automatic feature extraction and stereo image processing with genetic algorithms for LiDAR data. / Yu, Ting-To ; Yang, Ming ; Chen, Chao-Shi.
Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005. 2005. p. 307-309 1521080 (Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Automatic feature extraction and stereo image processing with genetic algorithms for LiDAR data

AU - Yu, Ting-To

AU - Yang, Ming

AU - Chen, Chao-Shi

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

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DO - 10.1109/CGIV.2005.22

M3 - Conference contribution

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T3 - Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005

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BT - Proceedings of the Conference on Computer Graphics, Imaging and Vision

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Y2 - 26 July 2005 through 29 July 2005

ER -

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

Abstract

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All Science Journal Classification (ASJC) codes

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