Fusion Method for Remote Sensing Image Based on Fuzzy Integral

This paper presents a kind of image fusion method based on fuzzy integral, integrated spectral information, and 2 single factor indexes of spatial resolution in order to greatly retain spectral information and spatial resolution information in fusion of multispectral and high-resolution remote sensi...

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Main Authors: Hui Zhou, Hongmin Gao
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2014/437939
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author Hui Zhou
Hongmin Gao
author_facet Hui Zhou
Hongmin Gao
author_sort Hui Zhou
collection DOAJ
description This paper presents a kind of image fusion method based on fuzzy integral, integrated spectral information, and 2 single factor indexes of spatial resolution in order to greatly retain spectral information and spatial resolution information in fusion of multispectral and high-resolution remote sensing images. Firstly, wavelet decomposition is carried out to two images, respectively, to obtain wavelet decomposition coefficients of the two image and keep coefficient of low frequency of multispectral image, and then optimized fusion is carried out to high frequency part of the two images based on weighting coefficient to generate new fusion image. Finally, evaluation is carried out to the image after fusion with introduction of evaluation indexes of correlation coefficient, mean value of image, standard deviation, distortion degree, information entropy, and so forth. The test results show that this method integrated multispectral information and space high-resolution information in a better way, and it is an effective fusion method of remote sensing image.
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institution OA Journals
issn 2090-0147
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publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Electrical and Computer Engineering
spelling doaj-art-9c4d3c6d164e4be5b8edaaa3d1c210032025-08-20T02:18:28ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552014-01-01201410.1155/2014/437939437939Fusion Method for Remote Sensing Image Based on Fuzzy IntegralHui Zhou0Hongmin Gao1College of Computer and Information Engineering, Hohai University, Nanjing 211100, ChinaCollege of Computer and Information Engineering, Hohai University, Nanjing 211100, ChinaThis paper presents a kind of image fusion method based on fuzzy integral, integrated spectral information, and 2 single factor indexes of spatial resolution in order to greatly retain spectral information and spatial resolution information in fusion of multispectral and high-resolution remote sensing images. Firstly, wavelet decomposition is carried out to two images, respectively, to obtain wavelet decomposition coefficients of the two image and keep coefficient of low frequency of multispectral image, and then optimized fusion is carried out to high frequency part of the two images based on weighting coefficient to generate new fusion image. Finally, evaluation is carried out to the image after fusion with introduction of evaluation indexes of correlation coefficient, mean value of image, standard deviation, distortion degree, information entropy, and so forth. The test results show that this method integrated multispectral information and space high-resolution information in a better way, and it is an effective fusion method of remote sensing image.http://dx.doi.org/10.1155/2014/437939
spellingShingle Hui Zhou
Hongmin Gao
Fusion Method for Remote Sensing Image Based on Fuzzy Integral
Journal of Electrical and Computer Engineering
title Fusion Method for Remote Sensing Image Based on Fuzzy Integral
title_full Fusion Method for Remote Sensing Image Based on Fuzzy Integral
title_fullStr Fusion Method for Remote Sensing Image Based on Fuzzy Integral
title_full_unstemmed Fusion Method for Remote Sensing Image Based on Fuzzy Integral
title_short Fusion Method for Remote Sensing Image Based on Fuzzy Integral
title_sort fusion method for remote sensing image based on fuzzy integral
url http://dx.doi.org/10.1155/2014/437939
work_keys_str_mv AT huizhou fusionmethodforremotesensingimagebasedonfuzzyintegral
AT hongmingao fusionmethodforremotesensingimagebasedonfuzzyintegral