Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Based on the Quickbird remote-sensing image of Aoshan vegetation extraction

Authors
Xue-xian Li, Guang-wei Wang, Hong-jun Pan, Chang-song Qi
Corresponding Author
Xue-xian Li
Available Online March 2013.
DOI
10.2991/iccsee.2013.20How to use a DOI?
Keywords
remote-sensing image, mathematical morphology, vegetation extraction
Abstract

On the analysis of terrain spectral features of Aoshan remote-sensing image, we identify spectral differences between the vegetation and other surface features, it combines mathematical morphology with vegetation distribution planning to complete the vegetation area extraction. Thus it can effectively realize the supervision of the regional vegetation.

Copyright
© 2013, 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 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.20
ISSN
1951-6851
DOI
10.2991/iccsee.2013.20How to use a DOI?
Copyright
© 2013, 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  - Xue-xian Li
AU  - Guang-wei Wang
AU  - Hong-jun Pan
AU  - Chang-song Qi
PY  - 2013/03
DA  - 2013/03
TI  - Based on the Quickbird remote-sensing image of Aoshan vegetation extraction
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 78
EP  - 80
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.20
DO  - 10.2991/iccsee.2013.20
ID  - Li2013/03
ER  -