Lorenzo Bruzzone

University of Trento

Italy

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Lorenzo Bruzzone

University Name

University of Trento

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Planetary Exploration and Earth Observation

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Articles (11)

Multiannual Change Detection Using a Weakly Supervised 3-D CNN in HR SITS

Article Link

Year:

2024

A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data

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Year:

2023

Subsurface signatures of bright terrain formation models on Ganymede by 3D radar sounder simulations

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Year:

2023

Exploring Venus subsurface: Analysis of geological targets and their properties

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Year:

2023

A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation

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Year:

2023

A Lightweight Transformer Network for Hyperspectral Image Classification

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Year:

2023

A Novel Method for Hidden Natural Caves Characterization and Accessibility Assessment From Spaceborne VHR SAR Images

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Year:

2023

A Unified Two-Stage Spatial and Spectral Network With Few-Shot Learning for Pansharpening

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Year:

2023

A dictionary-based integrated simulation approach to model large and small-scale coherent surface scattering phenomena in radar sounder data

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Year:

2023

Active Learning for Hyperspectral Image Classification Using Kernel Sparse Representation Classifiers

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Year:

2023

Analysis of Lava Tubes’ Roughness and Radar Near-Nadir Regime Backscattering Properties

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Year:

2023

Collaborators (1)

Dino Ienco

University of Montpellier

FRANCE

Lorenzo Bruzzone

Research Interests

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Contact this professor

Positions (1)

Planetary Exploration and Earth Observation

Articles (11)

Multiannual Change Detection Using a Weakly Supervised 3-D CNN in HR SITS

A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data

Subsurface signatures of bright terrain formation models on Ganymede by 3D radar sounder simulations

Exploring Venus subsurface: Analysis of geological targets and their properties

A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation

A Lightweight Transformer Network for Hyperspectral Image Classification

A Novel Method for Hidden Natural Caves Characterization and Accessibility Assessment From Spaceborne VHR SAR Images

A Unified Two-Stage Spatial and Spectral Network With Few-Shot Learning for Pansharpening

A dictionary-based integrated simulation approach to model large and small-scale coherent surface scattering phenomena in radar sounder data

Active Learning for Hyperspectral Image Classification Using Kernel Sparse Representation Classifiers

Analysis of Lava Tubes’ Roughness and Radar Near-Nadir Regime Backscattering Properties

Collaborators (1)

Dino Ienco

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