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

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/).

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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  -