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Journal of Electrical and Computer Engineering
Volume 2014, Article ID 437939, 9 pages
http://dx.doi.org/10.1155/2014/437939
Research Article

Fusion Method for Remote Sensing Image Based on Fuzzy Integral

1College of Computer and Information Engineering, Hohai University, Nanjing 211100, China
2College of Computer and Software, Nanjing Institute of Industry Technology, Nanjing 210046, China

Received 11 April 2014; Accepted 9 August 2014; Published 3 September 2014

Academic Editor: Jan Van der Spiegel

Copyright © 2014 Hui Zhou and Hongmin Gao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.