Stefania Matteoli - Citegraph

Author Info

Name	Affiliation	Papers
STEFANIA MATTEOLI	Univ Pisa, Dipartimento Ingn Informaz, I-56122 Pisa, Italy	37
Collaborators	Citations	PageRank
35	152	18.05
Referers	Referees	References
335	300	246

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100335

Publications (37 rows)

Collaborators (35 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Invariant Submerged Material Recognition with Fluorescence Lidar and Sparsity-Based Approaches.	0	0.34	2021
Bayesian Detection of Solid Subpixel Targets.	0	0.34	2021
Anomaly Detection For Replacement Model In Hyperspectral Imaging	0	0.34	2021
ARTEMIdE—An Automated Underwater Material Recognition Method for Fluorescence LIDAR Invariant to Environmental Conditions	1	0.37	2020
Closed-Form Nonparametric GLRT Detector for Subpixel Targets in Hyperspectral Images	0	0.34	2020
Recognizing Submerged Materials with Fluorescence Lidar without Knowledge of Environmental Conditions	0	0.34	2019
Automatic Target Recognition Within Anomalous Regions of Interest in Hyperspectral Images.	1	0.35	2018
POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment.	0	0.34	2017
Automated Classification of Peach Tree Rootstocks by Means of Spectroscopic Measurements and Signal Processing Techniques.	0	0.34	2016
Hyperspectral Airborne "Viareggio 2013 Trial" Data Collection for Detection Algorithm Assessment.	4	0.59	2016
Multi-Temporal Approach To Atmospheric Effects Compensation In Hyperspectral Image Classification	0	0.34	2015
Fluorescence Lidar System Modeling For Underwater Object Recognition Performance Evaluation	0	0.34	2015
Validation Of Forward Modeling Target Detection Approach On A New Hyperspectral Data Set Featuring An Urban Scenario And Variable Illumination Conditions	0	0.34	2015
AFRODiTE: A FluoRescence Lidar Simulator for Underwater Object DeTEction Applications	3	0.55	2015
Automated Underwater Object Recognition by Means of Fluorescence LIDAR	1	0.43	2015
Impact of Signal Contamination on the Adaptive Detection Performance of Local Hyperspectral Anomalies.	7	0.47	2014
Background Density Nonparametric Estimation With Data-Adaptive Bandwidths for the Detection of Anomalies in Multi-Hyperspectral Imagery.	2	0.38	2014
An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery	23	1.04	2014
A Locally Adaptive Background Density Estimator: An Evolution for RX-Based Anomaly Detectors	6	0.43	2014
Complexity-aware algorithm architecture for real-time enhancement of local anomalies in hyperspectral images	4	0.42	2013
The PRISMA hyperspectral mission: Science activities and opportunities for agriculture and land monitoring	8	0.73	2013
Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection.	12	0.65	2013
Effects of the signal dependent noise on the CFARness of the RX algorithm in hyperspectral images	0	0.34	2012
Effects of signal contamination in RX detection of local hyperspectral anomalies	1	0.35	2012
An Automatic Approach to Adaptive Local Background Estimation and Suppression in Hyperspectral Target Detection.	25	1.05	2011
Operational and Performance Considerations of Radiative-Transfer Modeling in Hyperspectral Target Detection	8	0.86	2011
A kurtosis-based test to efficiently detect targets placed in close proximity by means of local covariance-based hyperspectral anomaly detectors	3	0.39	2011
An anomaly detection architecture based on a data-adaptive density estimation	1	0.35	2011
Hyperspectral Anomaly Detection With Kurtosis-Driven Local Covariance Matrix Corruption Mitigation.	9	0.60	2011
Nonparametric Framework for Detecting Spectral Anomalies in Hyperspectral Images.	7	0.47	2011
Robust hyperspectral image segmentation based on a non-Gaussian model	8	0.54	2010
A new algorithm for local background suppression in hyperspectral target detection	0	0.34	2010
A spectral anomaly detector in hyperspectral images based on a non-Gaussian mixture model	1	0.36	2010
Forward Modeling and Atmospheric Compensation in hyperspectral data: Experimental analysis from a target detection perspective	3	0.58	2009
Comparison of radiative transfer in physics-based models for an improved understanding of empirical hyperspectral data	2	0.52	2009
Fully Unsupervised Learning of Gaussian Mixtures for Anomaly Detection in Hyperspectral Imagery	10	0.62	2009
A novel technique for hyperspectral signal subspace estimation in target detection applications	2	0.86	2008