Launch week offerEnds in00h00m00s

annual Promonthly Pro

gilda schirinzi

Full professor

Università degli Studi di Napoli Parthenope

Italy

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Italy Professors in Remote Sensing Remote Sensing professors in Italy

About

Gilda Schirinzi is a Full Professor at the Università degli Studi di Napoli Parthenope in Italy. Her research areas encompass advanced signal processing techniques for Synthetic Aperture Radar (SAR) applications, including TomoSAR detection and coastal deformation estimation. She has published recent articles on topics such as quantum-enhanced water quality monitoring and AI techniques for real-time contaminant monitoring. Professor Schirinzi is actively contributing to the field with innovative approaches addressing environmental monitoring and machine learning in agricultural diagnostics.

Articles (26)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2020

Year:

2020

Collaborators (6)

Vito Pascazio

Parthenope University of Naples

ITALY

View details

Sergio Vitale

Assistant Professor

Parthenope University of Naples

ITALY

View details

E. Tomppo

University of Helsinki

FINLAND

View details

Alessandra Budillon

Associate Professor

Università degli Studi di Napoli Parthenope

ITALY

View details

Hossein Aghababaei

University of Twente

NETHERLANDS

View details

Jaan Praks

Assistant professor

Aalto University

FINLAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

gilda schirinzi

Research Interests

Make your next move.

Explore related searches

About

Articles (26)

Assessing the Two-Layer Forest Scattering Model Using Sentinel-1 Dual-Polarimetric InSAR Observations

Gridless GLRT Approach for Polarimetric SAR Tomography

Geometry-Based Forest Structure Extraction From SAR Tomographic Data for Terrain and Canopy Modeling

Mitigation of Ghost Target Caused by Channel Inconsistency Based on Spectral Energy Reallocation for Azimuth Multichannel SAR

Patchwise Neural Network for Height Estimation in Forested Areas Based on Multichannel SAR Data

Beyond the Grid: GLRT-Based TomoSAR Fast Detection for Retrieving Height and Thermal Dilation

PSInSAR-Based Time-Series Coastal Deformation Estimation Using Sentinel-1 Data

Adaptive Coherent Multilook GLRT for SAR Tomography Detection

Contextual Tomographic SAR Denoising Approach for Estimating Scatterers’ Height and Deformation Velocity

Quantum-Enhanced Water Quality Monitoring: Exploiting $\Phi$ Sat-2 Data With Quanvolution

Estimation of Co-Seismic Surface Deformation Induced by 24 September 2019 Mirpur, Pakistan Earthquake along an Active Blind Fault Using Sentinel-1 TOPS Interferometry

Generalized Parametric Iterative Approach for Tomographic SAR Reconstruction

Enhanced Deep Learning Architecture for Rapid and Accurate Tomato Plant Disease Diagnosis

AI Techniques for Near Real-Time Monitoring of Contaminants in Coastal Waters on Board Future $\Phi$sat-2 Mission

Gridless GLRT for Tomographic SAR Detection Using Particle Swarm Optimization Algorithm

Non-Parametric Tomographic SAR Reconstruction via Improved Regularized MUSIC

Editorial for the Special Issue “Radar Techniques for Structures Characterization and Monitoring”

A Deep Learning Solution for Height Estimation on a Forested Area Based on Pol-TomoSAR Data

Spatio-Temporal Filtering Approach for Tomographic SAR Data

A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR

Remote Monitoring of Civil Infrastructure Based on TomoSAR

Performance Improvement for SAR Tomography Based on Local Plane Model

InSAR-MONet: Interferometric SAR Phase Denoising Using a Multiobjective Neural Network

Nonlocal Model-Free Denoising Algorithm for Single- and Multichannel SAR Data

Along-Track Interferometric SAR Systems for Ground-Moving Target Indication: Achievements, Potentials, and Outlook

Forest SAR Tomography: Principles and Applications

Collaborators (6)

Vito Pascazio

Sergio Vitale

E. Tomppo

Alessandra Budillon

Hossein Aghababaei

Jaan Praks

Make your next move.