Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

Research Progress of Computer Automatic Classification Technology and Methods Based on Remote Sensing Images

Authors
Hebing Zhang, Shidong Wang
Corresponding Author
Hebing Zhang
Available Online August 2012.
DOI
10.2991/iccasm.2012.192How to use a DOI?
Keywords
Remote sensing image, Classification methods, Supervised classification, Unsupervised classification
Abstract

In this paper, the research progress of computer automatic classification technology and methods based on remote sensing images is introduced. Firstly, the traditional classification methods of remote sensing image are discussed, which include supervised classification and unsupervised classification. Finally, some new technologies and methods of remote sensing images classification at home and abroad.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.192
ISSN
1951-6851
DOI
10.2991/iccasm.2012.192How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hebing Zhang
AU  - Shidong Wang
PY  - 2012/08
DA  - 2012/08
TI  - Research Progress of Computer Automatic Classification Technology and Methods Based on Remote Sensing Images
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 757
EP  - 761
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.192
DO  - 10.2991/iccasm.2012.192
ID  - Zhang2012/08
ER  -