Stefania Matteoli

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 25

Top Topics

Background Modeling

Target Detection

Environmental Conditions

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

IEEE Geosci. Remote. Sens. Lett.

Publications

Giovanni Corsini, Nicola Acito, Michael Alibani, Marco Diani, Stefania Matteoli, Salvatore Maresca, Marco Morelli, Emilio Simeone, Luigi D'Amato, Maria Libera Battagliere
Hyperhealth - Environmental Impact Assessment On Human Health: Advanced Methods For Hyperspectral Prisma Data Exploitation. IGARSS (2023)
Stefania Matteoli, James Theiler
Bayesian Target Detection Algorithms for Solid Subpixel Targets in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Alessia Tricomi, Nicola Acito, Antonello Aiello, Stefania Amici, Angelo Amodio, Federica Braga, Mariano Bresciani, Raffaele Casa, Giulio Ceriola, Giovanni Corsini, Vito De Pasquale, Marco Diani, Alice Fabbretto, Claudia Giardino, Giovanni Laneve, Valerio Lombardo, Stefania Matteoli, Saham Mirzaei, Massimo Musacchio, Monica Palandri, Simone Pascucci, Luca Pietranera, Stefano Pignatti, Patrizia Sacco, Gian Marco Scarpa, Riyaaz Uddien Shaik, Claudia Spinetti, Deodato Tapete
Prisma-Based Advanced Prototype Products: An Overview. IGARSS (2023)
Stefania Matteoli, James Theiler
Closed-Form Non-Parametric Admissible Detector for Solid Sub-Pixel Targets. IGARSS (2023)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Bayesian Non-Parametric Detector Based on the Replacement Model. IGARSS (2022)
Ermes Lo Piccolo, Stefania Matteoli, Marco Landi, Lucia Guidi, Rossano Massai, Damiano Remorini
Measurements of Anthocyanin Content of Prunus Leaves Using Proximal Sensing Spectroscopy and Statistical Machine Learning. IEEE Trans. Instrum. Meas. 71 (2022)
Olivier Besson, François Vincent, Stefania Matteoli
Adaptive target detection in hyperspectral imaging from two sets of training samples with different means. Signal Process. 181 (2021)
Stefania Matteoli, Giovanni Corsini, Marco Diani
Invariant Submerged Material Recognition with Fluorescence Lidar and Sparsity-Based Approaches. IGARSS (2021)
James Theiler, Stefania Matteoli, Amanda Ziemann
Bayesian Detection of Solid Subpixel Targets. IGARSS (2021)
François Vincent, Olivier Besson, Stefania Matteoli
Anomaly detection for replacement model in hyperspectral imaging. Signal Process. 185 (2021)
Stefania Matteoli, Marco Diani, Giovanni Corsini
A Fluorescence Lidar Simulator for the Design of Advanced Water Quality Assessment Methodologies. IGARSS (2020)
Stefania Matteoli, Marco Diani, Giovanni Corsini
ARTEMIdE - An Automated Underwater Material Recognition Method for Fluorescence LIDAR Invariant to Environmental Conditions. IEEE Trans. Geosci. Remote. Sens. 58 (3) (2020)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Improving Physical and Statistical Models for Detecting Difficult Targets with LRT Detectors in Closed-Form. IGARSS (2020)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Closed-Form Nonparametric GLRT Detector for Subpixel Targets in Hyperspectral Images. IEEE Trans. Aerosp. Electron. Syst. 56 (2) (2020)
Stefania Matteoli, Giovanni Corsini, Marco Diani
Recognizing Submerged Materials with Fluorescence Lidar without Knowledge of Environmental Conditions. IGARSS (2019)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Nonparametric Target Detection with Target Strength Estimation for Hyperspectral Images. IGARSS (2019)
Assaf Dvora, Stefania Matteoli, Stanley R. Rotman, Gil Tidhar, Marco Diani, Mayer Aladjem
Hyperspectral Target Detection Using Semi- and Non- Parametric Methods. IGARSS (2018)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Automatic Target Recognition Within Anomalous Regions of Interest in Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (4) (2018)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Hybrid Parametric - Nonparametric Target Detector for Hyperspectral Images. IGARSS (2018)
Stefania Matteoli, Giovanni Corsini
Underwater Material Discriminability with Fluorescence Lidar in Unknown Environmental Conditions. IGARSS (2018)
Stefania Matteoli, Laura Zotta, Marco Diani, Giovanni Corsini
POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (11) (2017)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Target detection experiments with a non-parametric detector on a new hyperspectral data set. IGARSS (2017)
Stefania Matteoli, Laura Zotta, Marco Diani, Giovanni Corsini
A framework for predicting underwater object recognition performance with fluorescence LIDAR. IGARSS (2017)
Stefania Matteoli, Marco Diani, Giovanni Corsini, Rossano Massai, Damiano Remorini
Automated Classification of Peach Tree Rootstocks by Means of Spectroscopic Measurements and Signal Processing Techniques. IEEE Trans. Instrum. Meas. 65 (3) (2016)
Nicola Acito, Stefania Matteoli, Alessandro Rossi, Marco Diani, Giovanni Corsini
Hyperspectral Airborne "Viareggio 2013 Trial" Data Collection for Detection Algorithm Assessment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (6) (2016)
Stefano Pignatti, Nicola Acito, Umberto Amato, Raffaele Casa, Fabio Castaldi, Rosa Coluzzi, Roberto de Bonis, Marco Diani, Vito Imbrenda, Giovanni Laneve, Stefania Matteoli, Angelo Palombo, Simone Pascucci, Federico Santini, Tiziana Simoniello, Cristina Ananasso, Giovanni Corsini, Vincenzo Cuomo
Environmental products overview of the Italian hyperspectral prisma mission: The SAP4PRISMA project. IGARSS (2015)
Stefania Matteoli, Giovanni Corsini, Marco Diani, Giovanna Cecchi, Guido Toci
Automated Underwater Object Recognition by Means of Fluorescence LIDAR. IEEE Trans. Geosci. Remote. Sens. 53 (1) (2015)
Stefania Matteoli, Laura Zotta, Marco Diani, Giovanni Corsini
Fluorescence LIDAR system modeling for underwater object recognition performance evaluation. IGARSS (2015)
Laura Zotta, Stefania Matteoli, Marco Diani, Giovanni Corsini
AFRODiTE: A FluoRescence Lidar Simulator for Underwater Object DeTEction Applications. IEEE Trans. Geosci. Remote. Sens. 53 (6) (2015)
Nicola Acito, Giovanni Corsini, Marco Diani, Stefania Matteoli, Aldo Riccobono, Alessandro Rossi
Validation of forward modeling target detection approach on a new hyperspectral data set featuring an urban scenario and variable illumination conditions. IGARSS (2015)
Nicola Acito, Marco Diani, Stefania Matteoli, Giovanni Corsini
Multi-temporal approach to atmospheric effects compensation in hyperspectral image classification. IGARSS (2015)
Stefania Matteoli, Tiziana Veracini, Marco Diani, Giovanni Corsini
A Locally Adaptive Background Density Estimator: An Evolution for RX-Based Anomaly Detectors. IEEE Geosci. Remote. Sens. Lett. 11 (1) (2014)
Stefania Matteoli, Marco Diani, James Theiler
An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (6) (2014)
Stefania Matteoli, Tiziana Veracini, Marco Diani, Giovanni Corsini
Background Density Nonparametric Estimation With Data-Adaptive Bandwidths for the Detection of Anomalies in Multi-Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 11 (1) (2014)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Impact of Signal Contamination on the Adaptive Detection Performance of Local Hyperspectral Anomalies. IEEE Trans. Geosci. Remote. Sens. 52 (4) (2014)
Stefania Matteoli, Tiziana Veracini, Marco Diani, Giovanni Corsini
Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 51 (5-1) (2013)
Nicola Acito, Stefania Matteoli, Marco Diani, Giovanni Corsini
Complexity-aware algorithm architecture for real-time enhancement of local anomalies in hyperspectral images. J. Real Time Image Process. 8 (1) (2013)
Stefano Pignatti, Angelo Palombo, Simone Pascucci, Filomena Romano, Federico Santini, Tiziana Simoniello, Umberto Amato, Vincenzo Cuomo, Nicola Acito, Marco Diani, Stefania Matteoli, Giovanni Corsini, Raffaele Casa, Roberto de Bonis, Giovanni Laneve, Cristina Ananasso
The PRISMA hyperspectral mission: Science activities and opportunities for agriculture and land monitoring. IGARSS (2013)
Nicola Acito, Marco Diani, Stefania Matteoli, Giovanni Corsini
Effects of the signal dependent noise on the CFARness of the RX algorithm in hyperspectral images. IGARSS (2012)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Effects of signal contamination in RX detection of local hyperspectral anomalies. IGARSS (2012)
Stefano Pignatti, Nicola Acito, Umberto Amato, Raffaele Casa, Roberto de Bonis, Marco Diani, Giovanni Laneve, Stefania Matteoli, Angelo Palombo, Simone Pascucci, Filomena Romano, Federico Santini, Tiziana Simoniello, Fulvio Ananasso, Simona Zoffoli, Giovanni Corsini, Vincenzo Cuomo
Development of algorithms and products for supporting the Italian hyperspectral PRISMA mission: The SAP4PRISMA project. IGARSS (2012)
Stefania Matteoli, Nicola Acito, Marco Diani, Giovanni Corsini
An Automatic Approach to Adaptive Local Background Estimation and Suppression in Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 49 (2) (2011)
Stefania Matteoli, Marco Diani, Giovanni Corsini
A kurtosis-based test to efficiently detect targets placed in close proximity by means of local covariance-based hyperspectral anomaly detectors. WHISPERS (2011)
Tiziana Veracini, Stefania Matteoli, Marco Diani, Giovanni Corsini
An anomaly detection architecture based on a data-adaptive density estimation. WHISPERS (2011)
Stefania Matteoli, Marco Diani, Giovanni Corsini
Hyperspectral Anomaly Detection With Kurtosis-Driven Local Covariance Matrix Corruption Mitigation. IEEE Geosci. Remote. Sens. Lett. 8 (3) (2011)
Stefania Matteoli, Emmett J. Ientilucci, John P. Kerekes
Operational and Performance Considerations of Radiative-Transfer Modeling in Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 49 (4) (2011)
Tiziana Veracini, Stefania Matteoli, Marco Diani, Giovanni Corsini
Nonparametric Framework for Detecting Spectral Anomalies in Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 8 (4) (2011)
Tiziana Veracini, Stefania Matteoli, Marco Diani, Giovanni Corsini, Sergio Ugo de Ceglie
A spectral anomaly detector in hyperspectral images based on a non-Gaussian mixture model. WHISPERS (2010)
Tiziana Veracini, Stefania Matteoli, Marco Diani, Giovanni Corsini
Robust hyperspectral image segmentation based on a non-Gaussian model. CIP (2010)
Stefania Matteoli, Nicola Acito, Marco Diani, Giovanni Corsini
A new algorithm for local background suppression in hyperspectral target detection. WHISPERS (2010)
Stefania Matteoli, Nicola Acito, Marco Diani, Giovanni Corsini
Local approach to orthogonal subspace-based target detection in hyperspectral images. WHISPERS (2009)
Stefania Matteoli, Emmett J. Ientilucci, John P. Kerekes
Forward Modeling and Atmospheric Compensation in hyperspectral data: Experimental analysis from a target detection perspective. WHISPERS (2009)
Stefania Matteoli, Emmett J. Ientilucci, John P. Kerekes
Comparison of radiative transfer in physics-based models for an improved understanding of empirical hyperspectral data. WHISPERS (2009)
Tiziana Veracini, Stefania Matteoli, Marco Diani, Giovanni Corsini
Fully Unsupervised Learning of Gaussian Mixtures for Anomaly Detection in Hyperspectral Imagery. ISDA (2009)
Nicola Acito, Giovanni Corsini, Marco Diani, Stefania Matteoli, Salvatore Resta
A novel technique for hyperspectral signal subspace estimation in target detection applications. IGARSS (3) (2008)