A novel technique for hyperspectral signal subspace estimation in target detection applications. - Nicola Acito; Giovanni Corsini; Marco Diani; Stefania Matteoli; Salvatore Resta (IGARSS (3), 2008)

Fully Unsupervised Learning of Gaussian Mixtures for Anomaly Detection in Hyperspectral Imagery. - Tiziana Veracini; Stefania Matteoli; Marco Diani; Giovanni Corsini (ISDA, 2009)

Local approach to orthogonal subspace-based target detection in hyperspectral images. - Stefania Matteoli; Nicola Acito; Marco Diani; Giovanni Corsini (WHISPERS, 2009)

Comparison of radiative transfer in physics-based models for an improved understanding of empirical hyperspectral data. - Stefania Matteoli; Emmett J. Ientilucci; John P. Kerekes (WHISPERS, 2009)

Forward Modeling and Atmospheric Compensation in hyperspectral data: Experimental analysis from a target detection perspective. - Stefania Matteoli; Emmett J. Ientilucci; John P. Kerekes (WHISPERS, 2009)

Robust hyperspectral image segmentation based on a non-Gaussian model. - Tiziana Veracini; Stefania Matteoli; Marco Diani; Giovanni Corsini (CIP, 2010)

A new algorithm for local background suppression in hyperspectral target detection. - Stefania Matteoli; Nicola Acito; Marco Diani; Giovanni Corsini (WHISPERS, 2010)

A spectral anomaly detector in hyperspectral images based on a non-Gaussian mixture model. - Tiziana Veracini; Stefania Matteoli; Marco Diani; Giovanni Corsini; Sergio Ugo de Ceglie (WHISPERS, 2010)

A kurtosis-based test to efficiently detect targets placed in close proximity by means of local covariance-based hyperspectral anomaly detectors. - Stefania Matteoli; Marco Diani; Giovanni Corsini (WHISPERS, 2011)

An anomaly detection architecture based on a data-adaptive density estimation. - Tiziana Veracini; Stefania Matteoli; Marco Diani; Giovanni Corsini (WHISPERS, 2011)

Hyperspectral Anomaly Detection With Kurtosis-Driven Local Covariance Matrix Corruption Mitigation. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IEEE Geosci. Remote. Sens. Lett., 2011)

Nonparametric Framework for Detecting Spectral Anomalies in Hyperspectral Images. - Tiziana Veracini; Stefania Matteoli; Marco Diani; Giovanni Corsini (IEEE Geosci. Remote. Sens. Lett., 2011)

An Automatic Approach to Adaptive Local Background Estimation and Suppression in Hyperspectral Target Detection. - Stefania Matteoli; Nicola Acito; Marco Diani; Giovanni Corsini (IEEE Trans. Geosci. Remote. Sens., 2011)

Operational and Performance Considerations of Radiative-Transfer Modeling in Hyperspectral Target Detection. - Stefania Matteoli; Emmett J. Ientilucci; John P. Kerekes (IEEE Trans. Geosci. Remote. Sens., 2011)

Effects of the signal dependent noise on the CFARness of the RX algorithm in hyperspectral images. - Nicola Acito; Marco Diani; Stefania Matteoli; Giovanni Corsini (IGARSS, 2012)

Effects of signal contamination in RX detection of local hyperspectral anomalies. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IGARSS, 2012)

Development of algorithms and products for supporting the Italian hyperspectral PRISMA mission: The SAP4PRISMA project. - 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; et al. (IGARSS, 2012)

The PRISMA hyperspectral mission: Science activities and opportunities for agriculture and land monitoring. - Stefano Pignatti; Angelo Palombo; Simone Pascucci; Filomena Romano; Federico Santini; Tiziana Simoniello; Umberto Amato; Vincenzo Cuomo; Nicola Acito; Marco Diani; Stefania Matteoli; Giovanni Corsini; et al. (IGARSS, 2013)

Complexity-aware algorithm architecture for real-time enhancement of local anomalies in hyperspectral images. - Nicola Acito; Stefania Matteoli; Marco Diani; Giovanni Corsini (J. Real Time Image Process., 2013)

Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection. - Stefania Matteoli; Tiziana Veracini; Marco Diani; Giovanni Corsini (IEEE Trans. Geosci. Remote. Sens., 2013)

Background Density Nonparametric Estimation With Data-Adaptive Bandwidths for the Detection of Anomalies in Multi-Hyperspectral Imagery. - Stefania Matteoli; Tiziana Veracini; Marco Diani; Giovanni Corsini (IEEE Geosci. Remote. Sens. Lett., 2014)

A Locally Adaptive Background Density Estimator: An Evolution for RX-Based Anomaly Detectors. - Stefania Matteoli; Tiziana Veracini; Marco Diani; Giovanni Corsini (IEEE Geosci. Remote. Sens. Lett., 2014)

An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery. - Stefania Matteoli; Marco Diani; James Theiler (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Impact of Signal Contamination on the Adaptive Detection Performance of Local Hyperspectral Anomalies. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IEEE Trans. Geosci. Remote. Sens., 2014)

Validation of forward modeling target detection approach on a new hyperspectral data set featuring an urban scenario and variable illumination conditions. - Nicola Acito; Giovanni Corsini; Marco Diani; Stefania Matteoli; Aldo Riccobono; Alessandro Rossi 005 (IGARSS, 2015)

Multi-temporal approach to atmospheric effects compensation in hyperspectral image classification. - Nicola Acito; Marco Diani; Stefania Matteoli; Giovanni Corsini (IGARSS, 2015)

Fluorescence LIDAR system modeling for underwater object recognition performance evaluation. - Stefania Matteoli; Laura Zotta; Marco Diani; Giovanni Corsini (IGARSS, 2015)

Environmental products overview of the Italian hyperspectral prisma mission: The SAP4PRISMA project. - 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; et al. (IGARSS, 2015)

Automated Underwater Object Recognition by Means of Fluorescence LIDAR. - Stefania Matteoli; Giovanni Corsini; Marco Diani; Giovanna Cecchi; Guido Toci (IEEE Trans. Geosci. Remote. Sens., 2015)

AFRODiTE: A FluoRescence Lidar Simulator for Underwater Object DeTEction Applications. - Laura Zotta; Stefania Matteoli; Marco Diani; Giovanni Corsini (IEEE Trans. Geosci. Remote. Sens., 2015)

Hyperspectral Airborne "Viareggio 2013 Trial" Data Collection for Detection Algorithm Assessment. - Nicola Acito; Stefania Matteoli; Alessandro Rossi 005; Marco Diani; Giovanni Corsini (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Automated Classification of Peach Tree Rootstocks by Means of Spectroscopic Measurements and Signal Processing Techniques. - Stefania Matteoli; Marco Diani; Giovanni Corsini; Rossano Massai; Damiano Remorini (IEEE Trans. Instrum. Meas., 2016)

Target detection experiments with a non-parametric detector on a new hyperspectral data set. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IGARSS, 2017)

A framework for predicting underwater object recognition performance with fluorescence LIDAR. - Stefania Matteoli; Laura Zotta; Marco Diani; Giovanni Corsini (IGARSS, 2017)

POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment. - Stefania Matteoli; Laura Zotta; Marco Diani; Giovanni Corsini (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Hyperspectral Target Detection Using Semi- and Non- Parametric Methods. - Assaf Dvora; Stefania Matteoli; Stanley R. Rotman; Gil Tidhar; Marco Diani; Mayer E. Aladjem (IGARSS, 2018)

Underwater Material Discriminability with Fluorescence Lidar in Unknown Environmental Conditions. - Stefania Matteoli; Giovanni Corsini (IGARSS, 2018)

Hybrid Parametric - Nonparametric Target Detector for Hyperspectral Images. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IGARSS, 2018)

Automatic Target Recognition Within Anomalous Regions of Interest in Hyperspectral Images. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Recognizing Submerged Materials with Fluorescence Lidar without Knowledge of Environmental Conditions. - Stefania Matteoli; Giovanni Corsini; Marco Diani (IGARSS, 2019)

Nonparametric Target Detection with Target Strength Estimation for Hyperspectral Images. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IGARSS, 2019)

A Fluorescence Lidar Simulator for the Design of Advanced Water Quality Assessment Methodologies. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IGARSS, 2020)

Improving Physical and Statistical Models for Detecting Difficult Targets with LRT Detectors in Closed-Form. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IGARSS, 2020)

Closed-Form Nonparametric GLRT Detector for Subpixel Targets in Hyperspectral Images. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IEEE Trans. Aerosp. Electron. Syst., 2020)

ARTEMIdE - An Automated Underwater Material Recognition Method for Fluorescence LIDAR Invariant to Environmental Conditions. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IEEE Trans. Geosci. Remote. Sens., 2020)

Invariant Submerged Material Recognition with Fluorescence Lidar and Sparsity-Based Approaches. - Stefania Matteoli; Giovanni Corsini; Marco Diani (IGARSS, 2021)

Bayesian Detection of Solid Subpixel Targets. - James Theiler; Stefania Matteoli; Amanda Ziemann (IGARSS, 2021)

Adaptive target detection in hyperspectral imaging from two sets of training samples with different means. - Olivier Besson; François Vincent; Stefania Matteoli (Signal Process., 2021)

Anomaly detection for replacement model in hyperspectral imaging. - François Vincent; Olivier Besson; Stefania Matteoli (Signal Process., 2021)

Bayesian Non-Parametric Detector Based on the Replacement Model. - Stefania Matteoli; Marco Diani; Giovanni Corsini (IGARSS, 2022)

Measurements of Anthocyanin Content of Prunus Leaves Using Proximal Sensing Spectroscopy and Statistical Machine Learning. - Ermes Lo Piccolo; Stefania Matteoli; Marco Landi; Lucia Guidi; Rossano Massai; Damiano Remorini (IEEE Trans. Instrum. Meas., 2022)

Hyperhealth - Environmental Impact Assessment On Human Health: Advanced Methods For Hyperspectral Prisma Data Exploitation. - Giovanni Corsini; Nicola Acito; Michael Alibani; Marco Diani; Stefania Matteoli; Salvatore Maresca; Marco Morelli; Emilio Simeone; Luigi D'Amato; Maria Libera Battagliere (IGARSS, 2023)

Closed-Form Non-Parametric Admissible Detector for Solid Sub-Pixel Targets. - Stefania Matteoli; James Theiler (IGARSS, 2023)

Prisma-Based Advanced Prototype Products: An Overview. - 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; et al. (IGARSS, 2023)

Bayesian Target Detection Algorithms for Solid Subpixel Targets in Hyperspectral Images. - Stefania Matteoli; James Theiler (IEEE Trans. Geosci. Remote. Sens., 2023)

Overview of the Main Activities of Hyperhealth Project - Results of Hyperspectral Prisma Data Exploitation. - Giovanni Corsini; Nicola Acito; Michael Alibani; Marco Diani; Stefania Matteoli; Salvatore Maresca; Marco Morelli; Emilio Simeone; Luigi D'Amato; Maria Libera Battagliere (IGARSS, 2024)

Enhancement of Prisma Hyperspectral Products for Improved Data Exploitation. - Salvatore Maresca; Stefania Matteoli (IGARSS, 2024)

Validation of betacyanin content in Beta vulgaris leaves by using non-destructive measurement with Dualex™ leaf clip sensor or proximal sensing spectroscopy. - Costanza Ceccanti; Maria Laura Landi; Marco Landi; Ermes Lo Piccolo; Lucia Guidi; Stefania Matteoli (Comput. Electron. Agric., 2025)

Fluorescence-based sensing for leaf nicotine prediction, nitrogen estimation and variable rate fertilization of tobacco. - Lorenza Tuccio; Stefania Matteoli; Emanuele Ranieri; Sara Antognelli; Marco Miserocchi; Guido Fastellini; Enrica Bargiacchi; Gilberto Milli; Sergio Miele; Linda Franceschetti; Giovanni Agati (Comput. Electron. Agric., 2025)