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Found 5 papers, 1 papers with code
A high performance approach to detecting small targets in long range low quality infrared videos
Since targets are small in long range infrared (IR) videos, it is challenging to accurately detect targets in those videos.
Unsupervised Pansharpening Based on Self-Attention Mechanism
First, the self-attention mechanism is proposed where the spatial varying detail extraction and injection functions are estimated according to the attention representations indicating spectral characteristics of the MSI with sub-pixel accuracy.
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
With this design, the network allows to extract correlated spectral and spatial information from unregistered images that better preserves the spectral information.
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
We refer to the proposed architecture as unsupervised Sparse Dirichlet-Net, or uSDN.
Detecting Burnscar from Hyperspectral Imagery via Sparse Representation with Low-Rank Interference
In this paper, we propose a burnscar detection model for hyperspectral imaging (HSI) data.
