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Found 4 papers, 1 papers with code
Physics-Inspired Degradation Models for Hyperspectral Image Fusion
To fill this gap, we propose physics-inspired degradation models (PIDM) to model the degradation of LR-HSI and HR-MSI, which comprises a spatial degradation network (SpaDN) and a spectral degradation network (SpeDN).
Asymmetric Hash Code Learning for Remote Sensing Image Retrieval
In this paper, we propose a novel deep hashing method, named asymmetric hash code learning (AHCL), for RSIR.
Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion
Hyperspectral image (HSI) with high spectral resolution often suffers from low spatial resolution owing to the limitations of imaging sensors.
Hyperspectral Image Super-Resolution via Non-Local Sparse Tensor Factorization
In this paper, a novel HSI super-resolution method based on non-local sparse tensor factorization (called as the NLSTF) is proposed.
