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Stefania Matteoli
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2020 – today
- 2023
- [j22]Stefania Matteoli
, James Theiler
:
Bayesian Target Detection Algorithms for Solid Subpixel Targets in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c33]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: 1637-1640 - [c32]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: 1752-1755 - [c31]Stefania Matteoli, James Theiler:
Closed-Form Non-Parametric Admissible Detector for Solid Sub-Pixel Targets. IGARSS 2023: 2274-2277 - 2022
- [j21]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: 1-10 (2022) - [c30]Stefania Matteoli, Marco Diani, Giovanni Corsini:
Bayesian Non-Parametric Detector Based on the Replacement Model. IGARSS 2022: 871-874 - 2021
- [j20]Olivier Besson
, François Vincent
, Stefania Matteoli:
Adaptive target detection in hyperspectral imaging from two sets of training samples with different means. Signal Process. 181: 107909 (2021) - [j19]François Vincent
, Olivier Besson
, Stefania Matteoli:
Anomaly detection for replacement model in hyperspectral imaging. Signal Process. 185: 108079 (2021) - [c29]James Theiler, Stefania Matteoli, Amanda Ziemann:
Bayesian Detection of Solid Subpixel Targets. IGARSS 2021: 3213-3216 - [c28]Stefania Matteoli, Giovanni Corsini, Marco Diani:
Invariant Submerged Material Recognition with Fluorescence Lidar and Sparsity-Based Approaches. IGARSS 2021: 5327-5330 - 2020
- [j18]Stefania Matteoli
, Marco Diani
, Giovanni Corsini
:
Closed-Form Nonparametric GLRT Detector for Subpixel Targets in Hyperspectral Images. IEEE Trans. Aerosp. Electron. Syst. 56(2): 1568-1581 (2020) - [j17]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): 1763-1776 (2020) - [c27]Stefania Matteoli, Marco Diani, Giovanni Corsini:
A Fluorescence Lidar Simulator for the Design of Advanced Water Quality Assessment Methodologies. IGARSS 2020: 3743-3746 - [c26]Stefania Matteoli, Marco Diani, Giovanni Corsini:
Improving Physical and Statistical Models for Detecting Difficult Targets with LRT Detectors in Closed-Form. IGARSS 2020: 3959-3962
2010 – 2019
- 2019
- [c25]Stefania Matteoli, Giovanni Corsini, Marco Diani:
Recognizing Submerged Materials with Fluorescence Lidar without Knowledge of Environmental Conditions. IGARSS 2019: 82-85 - [c24]Stefania Matteoli, Marco Diani, Giovanni Corsini:
Nonparametric Target Detection with Target Strength Estimation for Hyperspectral Images. IGARSS 2019: 449-452 - 2018
- [j16]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): 1056-1069 (2018) - [c23]Assaf Dvora, Stefania Matteoli, Stanley R. Rotman, Gil Tidhar, Marco Diani, Mayer E. Aladjem
:
Hyperspectral Target Detection Using Semi- and Non- Parametric Methods. IGARSS 2018: 2857-2860 - [c22]Stefania Matteoli, Marco Diani, Giovanni Corsini:
Hybrid Parametric - Nonparametric Target Detector for Hyperspectral Images. IGARSS 2018: 4241-4244 - [c21]Stefania Matteoli, Giovanni Corsini:
Underwater Material Discriminability with Fluorescence Lidar in Unknown Environmental Conditions. IGARSS 2018: 4599-4602 - 2017
- [j15]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): 5110-5133 (2017) - [c20]Stefania Matteoli, Marco Diani, Giovanni Corsini
:
Target detection experiments with a non-parametric detector on a new hyperspectral data set. IGARSS 2017: 1328-1331 - [c19]Stefania Matteoli, Laura Zotta, Marco Diani, Giovanni Corsini
:
A framework for predicting underwater object recognition performance with fluorescence LIDAR. IGARSS 2017: 2302-2305 - 2016
- [j14]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): 2365-2376 (2016) - [j13]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): 724-726 (2016) - 2015
- [j12]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): 375-393 (2015) - [j11]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): 3022-3041 (2015) - [c18]Nicola Acito, Marco Diani
, Stefania Matteoli, Giovanni Corsini
:
Multi-temporal approach to atmospheric effects compensation in hyperspectral image classification. IGARSS 2015: 1670-1673 - [c17]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: 3997-4000 - [c16]Stefania Matteoli, Laura Zotta, Marco Diani
, Giovanni Corsini
:
Fluorescence LIDAR system modeling for underwater object recognition performance evaluation. IGARSS 2015: 4943-4946 - [c15]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: 5075-5078 - 2014
- [j10]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): 163-167 (2014) - [j9]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): 323-327 (2014) - [j8]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): 2317-2336 (2014) - [j7]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): 1948-1968 (2014) - 2013
- [j6]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): 53-68 (2013) - [j5]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): 2837-2852 (2013) - [c14]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: 4558-4561 - 2012
- [c13]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: 127-130 - [c12]Stefania Matteoli, Marco Diani
, Giovanni Corsini
:
Effects of signal contamination in RX detection of local hyperspectral anomalies. IGARSS 2012: 4845-4848 - [c11]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: 5474-5477 - 2011
- [j4]Stefania Matteoli, Marco Diani
, Giovanni Corsini
:
Hyperspectral Anomaly Detection With Kurtosis-Driven Local Covariance Matrix Corruption Mitigation. IEEE Geosci. Remote. Sens. Lett. 8(3): 532-536 (2011) - [j3]Tiziana Veracini, Stefania Matteoli, Marco Diani
, Giovanni Corsini
:
Nonparametric Framework for Detecting Spectral Anomalies in Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 8(4): 666-670 (2011) - [j2]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): 790-800 (2011) - [j1]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): 1343-1355 (2011) - [c10]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: 1-4 - [c9]Tiziana Veracini, Stefania Matteoli, Marco Diani
, Giovanni Corsini
:
An anomaly detection architecture based on a data-adaptive density estimation. WHISPERS 2011: 1-4 - 2010
- [c8]Tiziana Veracini, Stefania Matteoli, Marco Diani
, Giovanni Corsini
:
Robust hyperspectral image segmentation based on a non-Gaussian model. CIP 2010: 192-197 - [c7]Stefania Matteoli, Nicola Acito, Marco Diani
, Giovanni Corsini
:
A new algorithm for local background suppression in hyperspectral target detection. WHISPERS 2010: 1-4 - [c6]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: 1-4
2000 – 2009
- 2009
- [c5]Tiziana Veracini, Stefania Matteoli, Marco Diani
, Giovanni Corsini
:
Fully Unsupervised Learning of Gaussian Mixtures for Anomaly Detection in Hyperspectral Imagery. ISDA 2009: 596-601 - [c4]Stefania Matteoli, Nicola Acito, Marco Diani
, Giovanni Corsini
:
Local approach to orthogonal subspace-based target detection in hyperspectral images. WHISPERS 2009: 1-4 - [c3]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: 1-4 - [c2]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: 1-4 - 2008
- [c1]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: 95-98
Coauthor Index
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