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Open AccessArticle

Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition

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State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China
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Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(11), 2619; https://doi.org/10.3390/s19112619
Received: 15 April 2019 / Revised: 30 May 2019 / Accepted: 6 June 2019 / Published: 9 June 2019
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
Ratio transformation methods are widely used for image fusion of high-resolution optical satellites. The premise for the use the ratio transformation is that there is a zero-bias linear relationship between the panchromatic band and the corresponding multi-spectral bands. However, there are bias terms and residual terms with large values in reality, depending on the sensors, the response spectral ranges, and the land-cover types. To address this problem, this paper proposes a panchromatic and multi-spectral image fusion method based on the panchromatic spectral decomposition (PSD). The low-resolution panchromatic and multi-spectral images are used to solve the proportionality coefficients, the bias coefficients, and the residual matrixes. These coefficients are substituted into the high-resolution panchromatic band and decompose it into the high-resolution multi-spectral bands. The experiments show that this method can make the fused image acquire high color fidelity and sharpness, it is robust to different sensors and features, and it can be applied to the panchromatic and multi-spectral fusion of high-resolution optical satellites. View Full-Text
Keywords: ratio transformation; panchromatic spectral decomposition; panchromatic and multi-spectral fusion; high-resolution optical satellites ratio transformation; panchromatic spectral decomposition; panchromatic and multi-spectral fusion; high-resolution optical satellites
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He, L.; Wang, M.; Zhu, Y.; Chang, X.; Feng, X. Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition. Sensors 2019, 19, 2619.

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