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Abstract
Multi-sensor image fusion is the process of combining relevant information from high spatial resolution image and high spectral resolution image. This paper proposes a pansharpening method for the fusion of Mars images obtained by the Mars Reconnaissance Orbiter satellite (PAN) and Mars Odyssey satellite (THEMIS MS). The method is based on some mix of Intensity, Hue, Saturation (IHS) and robust principal component analysis (RPCA) combined with the discrete wavelet transformation (DWT). Meanwhile, the results obtained with that of the other fusion techniques are compared, and a relatively objective comprehensive evaluation for fused image is used. Experiments show that the proposed algorithm has a significant suppression of artificial textures and less spectral distortion, and its running time is acceptable.
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Affiliation(s)
- Jiang-Long Wu
- Faculty of Information Technology, Macau University of Science and Technology, Macau, P. R. China
- Lunar and Planetary Science Laboratory, Space Science Institute, Macau, P. R. China
| | - Xiao-Lin Tian
- Faculty of Information Technology, Macau University of Science and Technology, Macau, P. R. China
- Lunar and Planetary Science Laboratory, Space Science Institute, Macau, P. R. China
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