Hyperspectral Image Super-Resolution Method Based on Spectral Smoothing Prior and Tensor Tubal Row-Sparse Representation

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 9; p. 2142
• Main Authors: Sun, Le, Cheng, Qihao, Chen, Zhiguo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2022
• Subjects: Clustering; Datasets; Decomposition; Deep learning; Dictionaries; hyperspectral image fusion; Hyperspectral imaging; Image resolution; Mathematical analysis; Neural networks; Remote sensing; Representations; Similarity; Smoothing; Sparsity; Spatial discrimination; Spatial resolution; Spectral resolution; super-resolution; tensor decomposition; tensor sparse representation; Tensors; Wavelet transforms

Due to the limited hardware conditions, hyperspectral image (HSI) has a low spatial resolution, while multispectral image (MSI) can gain higher spatial resolution. Therefore, derived from the idea of fusion, we reconstructed HSI with high spatial resolution and spectral resolution from HSI and MSI a...