A tutorial overview of anomaly detection in hyperspectral images S Matteoli, M Diani, G Corsini IEEE Aerospace and Electronic Systems Magazine 25 (7), 5-28, 2010 | 517 | 2010 |
An overview of background modeling for detection of targets and anomalies in hyperspectral remotely sensed imagery S Matteoli, M Diani, J Theiler IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 190 | 2014 |
Smart farming: Opportunities, challenges and technology enablers M Bacco, A Berton, E Ferro, C Gennaro, A Gotta, S Matteoli, F Paonessa, ... 2018 IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany), 1-6, 2018 | 154 | 2018 |
The PRISMA hyperspectral mission: Science activities and opportunities for agriculture and land monitoring S Pignatti, A Palombo, S Pascucci, F Romano, F Santini, T Simoniello, ... 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 4558 …, 2013 | 118 | 2013 |
Improved estimation of local background covariance matrix for anomaly detection in hyperspectral images S Matteoli, M Diani, G Corsini Optical Engineering 49 (4), 046201-046201-16, 2010 | 97 | 2010 |
A locally adaptive background density estimator: An evolution for RX-based anomaly detectors S Matteoli, T Veracini, M Diani, G Corsini IEEE geoscience and remote sensing letters 11 (1), 323-327, 2013 | 77 | 2013 |
Hyperspectral airborne “Viareggio 2013 Trial” data collection for detection algorithm assessment N Acito, S Matteoli, A Rossi, M Diani, G Corsini IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 72 | 2016 |
An automatic approach to adaptive local background estimation and suppression in hyperspectral target detection S Matteoli, N Acito, M Diani, G Corsini IEEE Transactions on Geoscience and Remote Sensing 49 (2), 790-800, 2010 | 72 | 2010 |
Models and methods for automated background density estimation in hyperspectral anomaly detection S Matteoli, T Veracini, M Diani, G Corsini IEEE transactions on geoscience and remote sensing 51 (5), 2837-2852, 2012 | 69 | 2012 |
Spectral variability of remotely sensed target materials: Causes, models, and strategies for mitigation and robust exploitation J Theiler, A Ziemann, S Matteoli, M Diani IEEE Geoscience and Remote Sensing Magazine 7 (2), 8-30, 2019 | 61 | 2019 |
Fully unsupervised learning of Gaussian mixtures for anomaly detection in hyperspectral imagery T Veracini, S Matteoli, M Diani, G Corsini 2009 Ninth International Conference on Intelligent Systems Design and …, 2009 | 47 | 2009 |
Effects of water stress on spectral reflectance of bermudagrass L Caturegli, S Matteoli, M Gaetani, N Grossi, S Magni, A Minelli, G Corsini, ... Scientific Reports 10 (1), 15055, 2020 | 44 | 2020 |
A spectroscopy-based approach for automated nondestructive maturity grading of peach fruits S Matteoli, M Diani, R Massai, G Corsini, D Remorini IEEE Sensors Journal 15 (10), 5455-5464, 2015 | 40 | 2015 |
Operational and performance considerations of radiative-transfer modeling in hyperspectral target detection S Matteoli, EJ Ientilucci, JP Kerekes IEEE Transactions on Geoscience and Remote Sensing 49 (4), 1343-1355, 2010 | 38 | 2010 |
Background density nonparametric estimation with data-adaptive bandwidths for the detection of anomalies in multi-hyperspectral imagery S Matteoli, T Veracini, M Diani, G Corsini IEEE Geoscience and remote sensing letters 11 (1), 163-167, 2013 | 36 | 2013 |
Hyperspectral anomaly detection with kurtosis-driven local covariance matrix corruption mitigation S Matteoli, M Diani, G Corsini IEEE Geoscience and Remote Sensing Letters 8 (3), 532-536, 2010 | 36 | 2010 |
Strong Mutual Coupling Effects on LOFAR: Modeling and In Situ Validation G Virone, P Bolli, F Paonessa, G Pupillo, SJ Wijnholds, S Matteoli, ... IEEE Transactions on Antennas and Propagation 66 (5), 2581-2588, 2018 | 33 | 2018 |
Environmental products overview of the Italian hyperspectral prisma mission: The SAP4PRISMA project S Pignatti, N Acito, U Amato, R Casa, F Castaldi, R Coluzzi, R De Bonis, ... 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 29 | 2015 |
Development of algorithms and products for supporting the Italian hyperspectral PRISMA mission: The SAP4PRISMA project S Pignatti, N Acito, U Amato, R Casa, R de Bonis, M Diani, G Laneve, ... 2012 IEEE International Geoscience and Remote Sensing Symposium, 127-130, 2012 | 28 | 2012 |
Nonparametric framework for detecting spectral anomalies in hyperspectral images T Veracini, S Matteoli, M Diani, G Corsini IEEE Geoscience and Remote Sensing Letters 8 (4), 666-670, 2011 | 27 | 2011 |