Unsupervised Recurrent Hyperspectral Imagery Super-Resolution Using Pixel-Aware Refinement

• Published in: IEEE transactions on geoscience and remote sensing Vol. 60; pp. 1 - 15
• Main Authors: Wei, Wei, Nie, Jiangtao, Zhang, Lei, Zhang, Yanning
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Computer science; Heuristic; Hyperspectral image super-resolution (SR); Hyperspectral imaging; Image reconstruction; Image resolution; Imagery; Machine learning; Neural networks; Optimization; pixel-aware refinement; Pixels; Problem solving; Resolution; Sparse matrices; Spatial resolution; Spectral analysis; Statistical methods; Training; unsupervised deep learning

Unsupervised fusion-based hyperspectral imagery (HSI) super-resolution (SR) is an essential task of HSI processing, which aims to reconstruct a high-resolution (HR) HSI using only an observed low-resolution HSI and a conventional HR image. Although a large number of unsupervised HSI SR methods have...