Hyperspectral imaging offers high spectral and spatial resolution, but its high costs and time-consuming nature make it difficult to use. Spectral Filter Array (SFA) imaging presents an alternative, offering high spectral resolution, user-friendliness, and affordability, but at the cost of limited spatial resolution. This paper presents an approach to address this trade-off, starting with raw overlapping frames from spectral videos, followed by a demosaicking network process before tackling the stitching problem. Our experiments on various spectral videos, supported by image quality metrics and qualitative demonstrations, indicate that this approach effectively enhances the spatial resolution of spectral images while reducing artifacts. The integration of the demosaicking and the stitching provides a robust solution for spectral video applications, paving the way for further advancements in panoramic spectral image stitching.