Journal of System Simulation
Abstract
Abstract: This paper compared 4 kinds of image fusion methods through the GF-2 panchromatic and multispectral data fusion test. The subjective qualitative evaluation and objective quantitative evaluation were applied to analyze the quality of the fusion images, which were classified by the maximum likelihood method to select the suitable fusion method for GF-2 image. Test results showed that, among the four fusion methods, Pansharp transform achieved better fusion effect. It had the best subjective and objective qualitative evaluation; It had the highest overall classification accuracy in the maximum likelihood classification test. The experiment results indicated that the Pansharp transform had better fusion effect than other fusion algorithms, and it was suitable for the application of GF-2 in forestry industry. The research aimed to provide reference for the application of image fusion in the forestry sector.
Recommended Citation
Xie, Shiqin; Zhao, Tianzhong; Wei, Wang; and Shi, Jingjing
(2020)
"Study on Fusion Algorithms of GF-2 Satellite Image,"
Journal of System Simulation: Vol. 29:
Iss.
11, Article 20.
DOI: 10.16182/j.issn1004731x.joss.201711020
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/20
First Page
2742
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201711020
Last Page
2747
CLC
TP751
Recommended Citation
Xie Shiqin, Zhao Tianzhong, Wang Wei, Shi Jingjing. Study on Fusion Algorithms of GF-2 Satellite Image[J]. Journal of System Simulation, 2017, 29(11): 2742-2747.
DOI
10.16182/j.issn1004731x.joss.201711020
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