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117626

ENHANCED SATELLITE IMAGES FUSION ALGORITHM USING COMBINED BI-DIMENSIONAL EMPIRICAL MODE DECOMPOSITION AND SHEARLET TRANSFORM BASED ON QGA OPTIMIZATION

Article

Last updated: 26 Dec 2024

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Subjects

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Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

The satellite images fusion is a process of merging data of the same scene from the panchromatic (PAN) and multispectral (MS) images captured by different instruments. This paper introduces a new satellite images fusion method using Bidimensional Empirical Mode Decomposition (BEMD) and shearlet Transform (ST). BEMD is an efficient method for satellite images processing due to its advantage of spectral data maintaining. Basically, it is used to transform the MS image into subsets named Intrinsic Mode Functions (IMFs). Hence these IMFs and the PAN image are divided by shearlet into high and low frequencies subsets, then the high frequency ones of IMFs are replaced with their corresponding subsets of the PAN image. At last, inverse shearlet and inverse BEMD are implemented to get the fused MS image. Shearlet is preferred due to its optimal representation of the anisotropic elements in the image and due to its capability in processing the continuity and digital data unlike curvelet and contourlet. The experiment results illustrated that the proposed method extracts more spatial details from PAN images with fewer losses in spectral quality of MS images compared to other classic fusion methods. For more enhancements, the fusion weights are estimated efficiently by a quantum genetic algorithm (QGA)-based approach. Keywords: Image, satellite, fusion, BEMD, Shearlet, QGA.

DOI

10.21608/jesaun.2016.117626

Keywords

Image, Satellite, fusion, BEMD, Shearlet, QGA

Authors

First Name

Usama

Last Name

Sayed Mohammed

MiddleName

-

Affiliation

Electrical Engineering Department,Faculty of Engineering,Assiut University, Assiut, Egypt

Email

usama@aun.edu.eg

City

-

Orcid

-

First Name

Osama Ahmed

Last Name

Omer

MiddleName

-

Affiliation

Electrical Engineering Department, Aswan University, 81542, Aswan, Egypt; Arab Academy for Science, Technology and Maritime Transport, Aswan, Egypt

Email

-

City

-

Orcid

-

First Name

Amal Ahmed

Last Name

Hamed

MiddleName

-

Affiliation

National Authorities for Remote Sensing and Space Science, Aswan, Egypt

Email

-

City

-

Orcid

-

Volume

44

Article Issue

No 6

Related Issue

16862

Issue Date

2016-11-01

Receive Date

2016-08-21

Publish Date

2016-11-01

Page Start

726

Page End

737

Print ISSN

1687-0530

Online ISSN

2356-8550

Article File

JESAUN_Volume 44_Issue No 6_Pages 726-737.pdf

PDF . 961.7kB

Link

https://jesaun.journals.ekb.eg/article_117626.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=117626

Order

5

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

ENHANCED SATELLITE IMAGES FUSION ALGORITHM USING COMBINED BI-DIMENSIONAL EMPIRICAL MODE DECOMPOSITION AND SHEARLET TRANSFORM BASED ON QGA OPTIMIZATION

Details

Type

Article

Created At

23 Jan 2023