A remote sensing image process method of supervised classification under grid environmental

Zili Liu; Wanlin Gao; Qing Wang; Ganghong Zhang; Lina Yu

doi:10.1109/IWISA.2009.5072669

A remote sensing image process method of supervised classification under grid environmental

Zili Liu
, Wanlin Gao
, Qing Wang
, Ganghong Zhang
, Lina Yu

China Agricultural University

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

3 Scopus citations

Abstract

On the base of studying and analyzing the Globus Toolkit2.4 platform and remote sensing technology, this article uses the grid platform Globus Toolkit2.4 and the Bayesian classification to build a remote sensing image process method of supervised classification under the grid environment. This method can provide a preferred approach for the classification of remote sensing image.

Original language	English
Title of host publication	2009 International Workshop on Intelligent Systems and Applications, ISA 2009
DOIs	https://doi.org/10.1109/IWISA.2009.5072669
State	Published - 2009
Externally published	Yes
Event	2009 International Workshop on Intelligent Systems and Applications, ISA 2009 - Wuhan, China Duration: 23 May 2009 → 24 May 2009

Publication series

Name	2009 International Workshop on Intelligent Systems and Applications, ISA 2009

Conference

Conference	2009 International Workshop on Intelligent Systems and Applications, ISA 2009
Country/Territory	China
City	Wuhan
Period	23/05/09 → 24/05/09

Keywords

Bayesian
Globus toolkit
Grid
Remote sensing

Access to Document

10.1109/IWISA.2009.5072669

Cite this

@inproceedings{b2abe87c3c4e452d9e7ec6f2a6e43ee3,

title = "A remote sensing image process method of supervised classification under grid environmental",

abstract = "On the base of studying and analyzing the Globus Toolkit2.4 platform and remote sensing technology, this article uses the grid platform Globus Toolkit2.4 and the Bayesian classification to build a remote sensing image process method of supervised classification under the grid environment. This method can provide a preferred approach for the classification of remote sensing image.",

keywords = "Bayesian, Globus toolkit, Grid, Remote sensing",

author = "Zili Liu and Wanlin Gao and Qing Wang and Ganghong Zhang and Lina Yu",

year = "2009",

doi = "10.1109/IWISA.2009.5072669",

language = "英语",

isbn = "9781424438945",

series = "2009 International Workshop on Intelligent Systems and Applications, ISA 2009",

booktitle = "2009 International Workshop on Intelligent Systems and Applications, ISA 2009",

note = "2009 International Workshop on Intelligent Systems and Applications, ISA 2009 ; Conference date: 23-05-2009 Through 24-05-2009",

}

Liu, Z, Gao, W, Wang, Q, Zhang, G & Yu, L 2009, A remote sensing image process method of supervised classification under grid environmental. in 2009 International Workshop on Intelligent Systems and Applications, ISA 2009., 5072669, 2009 International Workshop on Intelligent Systems and Applications, ISA 2009, 2009 International Workshop on Intelligent Systems and Applications, ISA 2009, Wuhan, China, 23/05/09. https://doi.org/10.1109/IWISA.2009.5072669

A remote sensing image process method of supervised classification under grid environmental. / Liu, Zili; Gao, Wanlin; Wang, Qing et al.
2009 International Workshop on Intelligent Systems and Applications, ISA 2009. 2009. 5072669 (2009 International Workshop on Intelligent Systems and Applications, ISA 2009).

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

TY - GEN

T1 - A remote sensing image process method of supervised classification under grid environmental

AU - Liu, Zili

AU - Gao, Wanlin

AU - Wang, Qing

AU - Zhang, Ganghong

AU - Yu, Lina

PY - 2009

Y1 - 2009

N2 - On the base of studying and analyzing the Globus Toolkit2.4 platform and remote sensing technology, this article uses the grid platform Globus Toolkit2.4 and the Bayesian classification to build a remote sensing image process method of supervised classification under the grid environment. This method can provide a preferred approach for the classification of remote sensing image.

AB - On the base of studying and analyzing the Globus Toolkit2.4 platform and remote sensing technology, this article uses the grid platform Globus Toolkit2.4 and the Bayesian classification to build a remote sensing image process method of supervised classification under the grid environment. This method can provide a preferred approach for the classification of remote sensing image.

KW - Bayesian

KW - Globus toolkit

KW - Grid

KW - Remote sensing

UR - https://www.scopus.com/pages/publications/70349507066

U2 - 10.1109/IWISA.2009.5072669

DO - 10.1109/IWISA.2009.5072669

M3 - 会议稿件

AN - SCOPUS:70349507066

SN - 9781424438945

T3 - 2009 International Workshop on Intelligent Systems and Applications, ISA 2009

BT - 2009 International Workshop on Intelligent Systems and Applications, ISA 2009

T2 - 2009 International Workshop on Intelligent Systems and Applications, ISA 2009

Y2 - 23 May 2009 through 24 May 2009

ER -

A remote sensing image process method of supervised classification under grid environmental

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this