Spectral variations pose a common challenge in analyzing hyperspectral images (HSI). To address this, low-rank tensor representation has emerged as a robust strategy, leveraging inherent correlations ...

In order to improve the fusion of infrared and visible images, a novel and effective fusion method is proposed based on multi-scale transform and sparse low-rank representation in this paper. Visible ...

This article proposes a method composed of a loss function and a feature extractor structure, to learn the distinctive feature representation (DIFR) for descriptors on multimodal images. The ...