Using Guided Filtering to Improve Gram-Schmidt Based Pansharpening Method for GeoEye-1 Satellite Images

DOI

10.2991/isct-16.2016.6How to use a DOI?

Keywords

pansharpening; Gram-Schmidt transformation; guided filter

Abstract

Gram-Schmidt based spectral pansharpening is a well-known scheme for fusion of panchromatic (PAN) and multispectral (MS) images. However, it relies more on the relative spectral responses between the PAN and MS sensors, which may easily suffer from spectral distortions. To deal with this problem, we present a new Gram-Schmidt based pansharpening method using guided filtering to improve the sharpened quality. The spatial information of PAN image including details and structures are effectively extracted through guided filtering and then injected into the MS imagery. The experiment is carried out on GeoEye-1 satellite images. Visual and objective analysis show that our method can produce high-quality pansharpened results and outperform some existing methods.

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  - Xu Li
AU  - Yiming Zhang
AU  - Yanan Gao
AU  - Shigang Yue
PY  - 2016/12
DA  - 2016/12
TI  - Using Guided Filtering to Improve Gram-Schmidt Based Pansharpening Method for GeoEye-1 Satellite Images
BT  - Proceedings of the 4th International Conference on Information Systems and Computing Technology
PB  - Atlantis Press
SP  - 33
EP  - 37
SN  - 2352-538X
UR  - https://doi.org/10.2991/isct-16.2016.6
DO  - 10.2991/isct-16.2016.6
ID  - Li2016/12
ER  -