2014
DOI: 10.1117/12.2067255
|View full text |Cite
|
Sign up to set email alerts
|

Pansharpening of multispectral images using filtering in Fourier domain

Abstract: In this study, there is examined filtering based pansharpening methods which means of using several 2D FIR filters in Fourier domain which implies that the filters are applied after taking 2D Discrete Fourier Transform of both multispectral and panchromatic image and after the pansharpening process in Fourier domain, the resulting pansharpened image is obtained with an inverse 2D DFT. In addition, these methods are compared with commonly used fusion methods which are combined as modulation based and component … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 11 publications
0
2
0
Order By: Relevance
“…In order to assess the robustness and effectiveness of the proposed method, we compared it with some existing fusion methods, i.e. PCA [18][19] the generalized IHS (GIHS) [16], the generalized IHS using spectral response functions (GIHS-SRF) [16], Wavelet Transform (WT) [6], Brovey [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20], Gram Schmidt Adaptive (GSA) [19][20][21] and FUFSER [9]. It can be seen that the spatial details extracted from the PAN image were introduced in the results obtained using all fusion methods.…”
Section: Experiments Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to assess the robustness and effectiveness of the proposed method, we compared it with some existing fusion methods, i.e. PCA [18][19] the generalized IHS (GIHS) [16], the generalized IHS using spectral response functions (GIHS-SRF) [16], Wavelet Transform (WT) [6], Brovey [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20], Gram Schmidt Adaptive (GSA) [19][20][21] and FUFSER [9]. It can be seen that the spatial details extracted from the PAN image were introduced in the results obtained using all fusion methods.…”
Section: Experiments Resultsmentioning
confidence: 99%
“…The disadvantages of these methods are that the fused images generated have more spectral distortions. The wavelet transform (WT) [1] and Fourier transform (FT) [7] preserve more of the spectral characteristics of the multispectral images. The Window Spectral Response (WiSpeR) fusion method uses the physical spectral response of sensors to compute the portion of spatial details extracted from the PAN image to be transferred into each band of the MS images [8].…”
Section: Introductionmentioning
confidence: 99%