Dr. Luca Bergamasco Profile

Dr. Luca Bergamasco

at Fondazione Bruno Kessler

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Publications (5)

Proceedings Article | 20 November 2024 Presentation + Paper

Unsupervised sparse convolutional autoencoder for multi-class change detection in hyperspectral images

Luca Bergamasco, Francesca Bovolo

Proceedings Volume 13196, 131960K (2024) https://doi.org/10.1117/12.3030005

KEYWORDS: Data modeling, Hyperspectral imaging, Spatial learning, Tunable filters, Spectral resolution, Image processing, Agriculture

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Proceedings Article | 26 October 2022 Paper

Unsupervised change detection in multi-modal SAR images using CycleGAN

Luca Bergamasco, Francesca Bovolo

Proceedings Volume 12267, 122670F (2022) https://doi.org/10.1117/12.2637433

KEYWORDS: Synthetic aperture radar, Feature extraction, Buildings, Backscatter, Spatial resolution, Image processing, Feature selection, Multimodal imaging

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Proceedings Article | 21 September 2020 Presentation + Paper

A novel deep learning data structure for multispectral remote sensing images

Luca Bergamasco, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 11533, 115330N (2020) https://doi.org/10.1117/12.2571643

KEYWORDS: Remote sensing, Multispectral imaging, Image classification, Data processing, Image processing, Convolutional neural networks, Image fusion, 3D modeling, Statistical modeling, Data modeling

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Proceedings Article | 20 September 2020 Presentation + Paper

Unsupervised change detection using hierarchical convolutional autoencoder

Luca Bergamasco, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 11533, 115330D (2020) https://doi.org/10.1117/12.2571313

KEYWORDS: Computer programming, Remote sensing, Data hiding, Denoising, Super resolution, Error analysis, Image processing, Earth observing sensors, Landsat

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Proceedings Article | 7 October 2019 Presentation + Paper

Unsupervised change-detection based on convolutional-autoencoder feature extraction

Luca Bergamasco, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 11155, 1115510 (2019) https://doi.org/10.1117/12.2533812

KEYWORDS: Feature extraction, Detection and tracking algorithms, Neural networks, Sensors, Remote sensing, Visualization, Data analysis, Satellite imaging, Earth observing sensors, Satellites

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