Model-Informed Multistage Unsupervised Network for Hyperspectral Image Super-Resolution

By fusing a low-resolution hyperspectral image (LrMSI) with an auxiliary high-resolution multispectral image (HrMSI), hyperspectral image super-resolution (HISR) can generate a high-resolution hyperspectral image (HrHSI) economically. Despite the promising performance achieved by deep learning (DL), there are still two challenges remaining to be solved. First, most DL-based methods heavily rely on large-scale training triplets, which reduces them to limited generalization and poor practicability in real-world scenarios. Second, existing methods pursue higher performance by designing complex structures from off-the-shelf components while ignoring inherent information from the degradation model, hence leading to…

• NK
  National Key Research and Development Program of China

  Award: 2021YFB3900502