Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

Land Covers Classification for Remote Sensing Images Based on Spectral and Textural Information

Authors
Wei Zhao1, Shumei Cui
1Harbin Institute of Technology
Corresponding Author
Wei Zhao
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.78How to use a DOI?
Keywords
Remotely Sensed Images;Texture Analysis; Grey level Cooccurrence Matrix; Spectral Feature
Abstract

In this paper, the classifiers for land/water and natural land/artificial land combined the texture measures with spectral analysis for remote sensing images have been built. The specific recognition has been designed in order to take advantages of both analyses. Moreover, coastal line development analysis, the length or ratio of natural/artificial seacoast, could be calculated automatically. The use of red/infrared spectral analysis refines the boundary of classes; meanwhile the merging of co-occurrence matrix texture analysis and spectral information has improved the accuracy of the three-class labeling.

Copyright
© 2008, 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 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.78How to use a DOI?
Copyright
© 2008, 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  - Wei Zhao
AU  - Shumei Cui
PY  - 2008/12
DA  - 2008/12
TI  - Land Covers Classification for Remote Sensing Images Based on Spectral and Textural Information
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 458
EP  - 463
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.78
DO  - https://doi.org/10.2991/jcis.2008.78
ID  - Zhao2008/12
ER  -