DBNSR: Hyperspectral Image Super-Resolution Based on Dual Branch Network

To address the problem that current hyperspectral image super-resolution methods struggle to effectively extract spatial-spectral information, resulting in degraded performance, this paper proposes a dual-branch network for hyperspectral images super-resolution (DBNSR). In the proposed framework, one branch transforms hyperspectral image super-resolution into abundance map super-resolution through unmixing, leveraging endmembers to represent spectral information and thereby enhancing spectral fe