Raffaele Grasso
Orcid: 0009-0003-6023-2073
According to our database1,
Raffaele Grasso
authored at least 29 papers
between 2001 and 2023.
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Bibliography
2023
Saliency-Aided Online RPCA for Moving Target Detection in Infrared Maritime Scenarios.
Sensors, July, 2023
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Gaussian Process Latent Variable Models Applied to Study Maritime Traffic Patterns from VIIRS Data.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Technol. Soc. Mag., 2019
Ship Classification from Multi-Spectral Satellite Imaging by Convolutional Neural Networks.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
A decision support web service for allocating assets in counter-piracy operations given periodic environmental forecast updates.
Int. J. Intell. Def. Support Syst., 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2015
Environmental field estimation by consensus based dynamic sensor networks and underwater gliders.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
IEEE Trans. Geosci. Remote. Sens., 2014
EURASIP J. Adv. Signal Process., 2014
A network of HF surface wave radars for maritime surveillance: Preliminary results in the German Bight.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 17th International Conference on Information Fusion, 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
A decision support system for optimal deployment of sonobuoy networks based on sea current forecasts and multi-objective evolutionary optimization.
Expert Syst. Appl., 2013
Asset network planning: Integration of environmental data and sensor performance for counter piracy.
Proceedings of the 21st European Signal Processing Conference, 2013
2012
Proceedings of the 15th International Conference on Information Fusion, 2012
2011
A Decision Support Architecture for Maritime Operations Exploiting Multiple METOC Centres and Uncertainty.
Int. J. Strateg. Decis. Sci., 2011
A hybrid continuity preserving inference strategy to speed up Takagi-Sugeno multiobjective genetic fuzzy systems.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
Rapid prototyping of high performance fuzzy computing applications using high level GPU programming for maritime operations support.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2011
2010
Int. J. Intell. Def. Support Syst., 2010
Vessel detection and classification: An integrated maritime surveillance system in the Tyrrhenian sea.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010
2009
Performance Assessment of a Mathematical Morphology Ship Detection Algorithm for SAR Images through Comparison with AIS Data.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
2008
A Study for Near-Shore Characterization Using High-Resolution Hyperspectral and Multispectral Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2006
Small bottom object density analysis from side scan sonar data by a mathematical morphology detector.
Proceedings of the 9th International Conference on Information Fusion, 2006
Geo-spatial Tactical Decision Aid systems: fuzzy logic for supporting decision making.
Proceedings of the 9th International Conference on Information Fusion, 2006
2002
A fuzzy model for the retrieval of the sea water optically active constituents concentration from MERIS data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
Multivariate principal component analysis of SST-pigments 2D vector field from a time series of satellite images of the Alboran Sea.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
2001
Retrieval of sea water optically active parameters from hyperspectral data by means of generalized radial basis function neural networks.
IEEE Trans. Geosci. Remote. Sens., 2001