Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

Research on a Remote Sensing Image Classification Algorithm Based on Decision Table

Authors
Yang Dehui, Song Yong, Zhang Kai
Corresponding Author
Yang Dehui
Available Online December 2015.
DOI
10.2991/nceece-15.2016.54How to use a DOI?
Keywords
High Resolution Satellite Remote Sensing Image; Decision Table; Feature Attribute; Object Oriented
Abstract

A remote sensing image classification algorithm based on decision table is proposed in this study. Firstly, image segmentation of remote sensing image was performed to extract feature attribute of image object. Then several samples were selected from image objects in different categories to construct classification information system. Thereafter, classification attributes were discretized to build decision table and obtain classification rules. Finally, classification of samples was realized by rule matching. Our experiment shows that this novel algorithm can classify earth objects in high resolution satellite remote sensing image, and present the actual distribution of earth objects.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-150-6
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.54How to use a DOI?
Copyright
© 2016, 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  - Yang Dehui
AU  - Song Yong
AU  - Zhang Kai
PY  - 2015/12
DA  - 2015/12
TI  - Research on a Remote Sensing Image Classification Algorithm Based on Decision Table
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 266
EP  - 270
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.54
DO  - 10.2991/nceece-15.2016.54
ID  - Dehui2015/12
ER  -