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

DOI

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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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  - 10.2991/jcis.2008.78
ID  - Zhao2008/12
ER  -