Search: spectral reconstruction — Academic Articles

Spectral imaging with deep learning

Longqian Huang, Ruichen Luo, Xü Liu, Xiang Hao • Light Science & Applications (2022)

The goal of spectral imaging is to capture the spectral signature of a target. Traditional scanning method for spectral imaging suffers from large system volume and low image acquisition speed for large scenes. In contrast, computational sp...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41377-022-00743-6 PMC: 8927154

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Synthetic Data Pretraining for Hyperspectral Image Super-Resolution

Emanuele Aiello, Mirko Agarla, Diego Valsesia, Paolo Napoletano et al. • IEEE Access (2024)

Large-scale self-supervised pretraining of deep learning models is known to be critical in several fields, such as language processing, where its has led to significant breakthroughs. Indeed, it is often more impactful than architectural de...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3396990

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Unmixing-Guided Convolutional Transformer for Spectral Reconstruction

Shiyao Duan, Jiaojiao Li, Rui Song, Yunsong Li et al. • Remote Sensing (2023)

Deep learning networks based on CNNs or transformers have made progress in spectral reconstruction (SR). However, many methods focus solely on feature extraction, overlooking the interpretability of network design. Additionally, models excl...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs15102619

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Academic Articles & Research Papers

Spectral imaging with deep learning

Synthetic Data Pretraining for Hyperspectral Image Super-Resolution

Unmixing-Guided Convolutional Transformer for Spectral Reconstruction