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Pansharpening of Multispectral Satellite Images via Lattice Structures

by N.H. Kaplan, I. Erer
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 140 - Number 7
Year of Publication: 2016
Authors: N.H. Kaplan, I. Erer
10.5120/ijca2016909366

N.H. Kaplan, I. Erer . Pansharpening of Multispectral Satellite Images via Lattice Structures. International Journal of Computer Applications. 140, 7 ( April 2016), 9-14. DOI=10.5120/ijca2016909366

@article{ 10.5120/ijca2016909366,
author = { N.H. Kaplan, I. Erer },
title = { Pansharpening of Multispectral Satellite Images via Lattice Structures },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 140 },
number = { 7 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume140/number7/24605-2016909366/ },
doi = { 10.5120/ijca2016909366 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:41:38.170420+05:30
%A N.H. Kaplan
%A I. Erer
%T Pansharpening of Multispectral Satellite Images via Lattice Structures
%J International Journal of Computer Applications
%@ 0975-8887
%V 140
%N 7
%P 9-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Since satellite images with high spatial and spectral quality are highly desired for remote sensing applications, various algorithms have been developed for the fusion of multispectral and panchromatic images. Wavelet transform based mergers have found enormous interest in the fusion community. This paper introduces undecimated filterbanks with lattice structure and applies them to the pansharpening problem. Multispectral and panchromatic images are decomposed using the developed lattice analysis structure into subbands which are combined by using a predefined fusion rule. The fused image is obtained by the inverse lattice filtering of the fused subbands. Fusion results and quality metrics show that the proposed method can be a good alternative to the other well-known pansharpening methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Image fusion pansharpening multispectral images multiresolution analysis lattice filters.

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