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Izvorni znanstveni članak
https://doi.org/10.17559/TV-20171023105844

Fusion of Multispectral and Panchromatic Images via Local Geometrical Similarity

Hong Li   ORCID icon orcid.org/0000-0002-6385-6354 ; School of Computer Science, XianYang Normal University, XianYang, Shaanxi, 712000, China
Fenxia Wu ; School of Computer Science, XianYang Normal University, XianYang, Shaanxi, 712000, China
Xiaobo Zhang ; School of Computer Science, XianYang Normal University, XianYang, Shaanxi, 712000, China

Puni tekst: engleski, pdf (1 MB) str. 546-552 preuzimanja: 298* citiraj
APA 6th Edition
Li, H., Wu, F. i Zhang, X. (2018). Fusion of Multispectral and Panchromatic Images via Local Geometrical Similarity. Tehnički vjesnik, 25 (2), 546-552. https://doi.org/10.17559/TV-20171023105844
MLA 8th Edition
Li, Hong, et al. "Fusion of Multispectral and Panchromatic Images via Local Geometrical Similarity." Tehnički vjesnik, vol. 25, br. 2, 2018, str. 546-552. https://doi.org/10.17559/TV-20171023105844. Citirano 15.05.2021.
Chicago 17th Edition
Li, Hong, Fenxia Wu i Xiaobo Zhang. "Fusion of Multispectral and Panchromatic Images via Local Geometrical Similarity." Tehnički vjesnik 25, br. 2 (2018): 546-552. https://doi.org/10.17559/TV-20171023105844
Harvard
Li, H., Wu, F., i Zhang, X. (2018). 'Fusion of Multispectral and Panchromatic Images via Local Geometrical Similarity', Tehnički vjesnik, 25(2), str. 546-552. https://doi.org/10.17559/TV-20171023105844
Vancouver
Li H, Wu F, Zhang X. Fusion of Multispectral and Panchromatic Images via Local Geometrical Similarity. Tehnički vjesnik [Internet]. 2018 [pristupljeno 15.05.2021.];25(2):546-552. https://doi.org/10.17559/TV-20171023105844
IEEE
H. Li, F. Wu i X. Zhang, "Fusion of Multispectral and Panchromatic Images via Local Geometrical Similarity", Tehnički vjesnik, vol.25, br. 2, str. 546-552, 2018. [Online]. https://doi.org/10.17559/TV-20171023105844

Sažetak
A pansharpening method based on local geometrical similarity is proposed in this paper. According to the observation model, the relationships among low spatial resolution multispectral (LRMS), panchromatic (Pan) and high spatial resolution multispectral (HRMS) images are formulated. In this paper, in order to reduce the color distortion and enhance the spatial information of fused images, we propose a Pan-Sharpening method via Local Geometrical Similarity (PLGS). First, the structure similarity prior within a local region in the Pan image is employed to regularize the solution space to obtain a more accurate solution. Then, the prior is embedded into the LRMS image to enhance the spatial resolution. In order to capture better geometrical structure information, such as orientation information and geometric textures, the steerable kernel is used to calculate the similarity coefficients in a local window. Some experiments are considered on different datasets and the results show that the proposed method can improve the visual effect and the quantitative values.

Ključne riječi
local similarity; pansharpening; remote sensing images; steerable kernel

Hrčak ID: 199154

URI
https://hrcak.srce.hr/199154

Posjeta: 500 *