Stefania Matteoli
Orcid: 0000-0001-6940-9881
According to our database1,
Stefania Matteoli
authored at least 55 papers
between 2008 and 2023.
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Bibliography
2023
Bayesian Target Detection Algorithms for Solid Subpixel Targets in Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Hyperhealth - Environmental Impact Assessment On Human Health: Advanced Methods For Hyperspectral Prisma Data Exploitation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Measurements of Anthocyanin Content of Prunus Leaves Using Proximal Sensing Spectroscopy and Statistical Machine Learning.
IEEE Trans. Instrum. Meas., 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Signal Process., 2021
Adaptive target detection in hyperspectral imaging from two sets of training samples with different means.
Signal Process., 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Invariant Submerged Material Recognition with Fluorescence Lidar and Sparsity-Based Approaches.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
ARTEMIdE - An Automated Underwater Material Recognition Method for Fluorescence LIDAR Invariant to Environmental Conditions.
IEEE Trans. Geosci. Remote. Sens., 2020
Closed-Form Nonparametric GLRT Detector for Subpixel Targets in Hyperspectral Images.
IEEE Trans. Aerosp. Electron. Syst., 2020
Improving Physical and Statistical Models for Detecting Difficult Targets with LRT Detectors in Closed-Form.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
A Fluorescence Lidar Simulator for the Design of Advanced Water Quality Assessment Methodologies.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Nonparametric Target Detection with Target Strength Estimation for Hyperspectral Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Recognizing Submerged Materials with Fluorescence Lidar without Knowledge of Environmental Conditions.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Automatic Target Recognition Within Anomalous Regions of Interest in Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Underwater Material Discriminability with Fluorescence Lidar in Unknown Environmental Conditions.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
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., 2017
A framework for predicting underwater object recognition performance with fluorescence LIDAR.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Target detection experiments with a non-parametric detector on a new hyperspectral data set.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Automated Classification of Peach Tree Rootstocks by Means of Spectroscopic Measurements and Signal Processing Techniques.
IEEE Trans. Instrum. Meas., 2016
Hyperspectral Airborne "Viareggio 2013 Trial" Data Collection for Detection Algorithm Assessment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
2015
AFRODiTE: A FluoRescence Lidar Simulator for Underwater Object DeTEction Applications.
IEEE Trans. Geosci. Remote. Sens., 2015
IEEE Trans. Geosci. Remote. Sens., 2015
Environmental products overview of the Italian hyperspectral prisma mission: The SAP4PRISMA project.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Fluorescence LIDAR system modeling for underwater object recognition performance evaluation.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Multi-temporal approach to atmospheric effects compensation in hyperspectral image classification.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Validation of forward modeling target detection approach on a new hyperspectral data set featuring an urban scenario and variable illumination conditions.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Impact of Signal Contamination on the Adaptive Detection Performance of Local Hyperspectral Anomalies.
IEEE Trans. Geosci. Remote. Sens., 2014
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., 2014
A Locally Adaptive Background Density Estimator: An Evolution for RX-Based Anomaly Detectors.
IEEE Geosci. Remote. Sens. Lett., 2014
Background Density Nonparametric Estimation With Data-Adaptive Bandwidths for the Detection of Anomalies in Multi-Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2014
2013
Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2013
Complexity-aware algorithm architecture for real-time enhancement of local anomalies in hyperspectral images.
J. Real Time Image Process., 2013
The PRISMA hyperspectral mission: Science activities and opportunities for agriculture and land monitoring.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Development of algorithms and products for supporting the Italian hyperspectral PRISMA mission: The SAP4PRISMA project.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Effects of the signal dependent noise on the CFARness of the RX algorithm in hyperspectral images.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Operational and Performance Considerations of Radiative-Transfer Modeling in Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2011
An Automatic Approach to Adaptive Local Background Estimation and Suppression in Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2011
IEEE Geosci. Remote. Sens. Lett., 2011
Hyperspectral Anomaly Detection With Kurtosis-Driven Local Covariance Matrix Corruption Mitigation.
IEEE Geosci. Remote. Sens. Lett., 2011
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
A kurtosis-based test to efficiently detect targets placed in close proximity by means of local covariance-based hyperspectral anomaly detectors.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
2010
A spectral anomaly detector in hyperspectral images based on a non-Gaussian mixture model.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010
2009
Forward Modeling and Atmospheric Compensation in hyperspectral data: Experimental analysis from a target detection perspective.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Comparison of radiative transfer in physics-based models for an improved understanding of empirical hyperspectral data.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Local approach to orthogonal subspace-based target detection in hyperspectral images.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Fully Unsupervised Learning of Gaussian Mixtures for Anomaly Detection in Hyperspectral Imagery.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
2008
A novel technique for hyperspectral signal subspace estimation in target detection applications.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008