Classification Precision Analysis on Different Fusion Algorithm for ETM + Remote Sensing Image

DOI

10.2991/icence-16.2016.184How to use a DOI?

Keywords

Fusion algorithm, ETM +, Remote sensing image fusion, The classification accuracy

Abstract

With ETM+ data (Nantai Island Fuzhou), several fusion algorithms (PCA, MLT, Brovey Transform, HIS) have been applied in image fusion. After image fusion, some criterions (Spectral fidelity, High spatial frequency information gain, and Classification accuracy, Etc.) have been utilized to evaluate the effect of fusion. Based on the fusion image, unsupervised classification and sequential accuracy assessment have been applied to it. According to the experiment result mentioned above, the paper provides a methodology reference of image fusion to user.

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  - Huoqian Luo
PY  - 2016/09
DA  - 2016/09
TI  - Classification Precision Analysis on Different Fusion Algorithm for ETM + Remote Sensing Image
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 983
EP  - 990
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.184
DO  - 10.2991/icence-16.2016.184
ID  - Luo2016/09
ER  -