Mirko Paolo BarbatoPostdoctoral Fellow

DISCo (Department of Informatics, Systems and Communication)
University of Milan-Bicocca
Viale Sarca 336, Building U14

Room 1007,

Biography

Publications

Journal Articles

3.

Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning
(Flavio Piccoli, Mirko Paolo Barbato, Marco Peracchi, Paolo Napoletano) In Sensors, volume 23, number 18, 2023.

@article{piccoli2023estimation,
 author = {Piccoli, Flavio and Barbato, Mirko Paolo and Peracchi, Marco and Napoletano, Paolo},
 year = {2023},
 title = {Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning},
 volume = {23},
 number = {18},
 journal = {Sensors},
 url = {https://www.mdpi.com/1424-8220/23/18/7876},
 pdf = {https://www.mdpi.com/1424-8220/23/18/7876/pdf?version=1694684480},
 doi = {10.3390/s23187876},
 issn = {1424-8220}}
2.

Deep Learning Hyperspectral Pansharpening on large scale PRISMA dataset
(Simone Zini, Mirko Paolo Barbato, Flavio Piccoli, Paolo Napoletano) In arXiv preprint arXiv:2307.11666, 2023.

@article{zini2023deep,
 author = {Zini, Simone and Barbato, Mirko Paolo and Piccoli, Flavio and Napoletano, Paolo},
 year = {2023},
 title = {Deep Learning Hyperspectral Pansharpening on large scale PRISMA dataset},
 journal = {arXiv preprint arXiv:2307.11666}}
1.

Unsupervised segmentation of hyperspectral remote sensing images with superpixels
(Mirko Paolo Barbato, Paolo Napoletano, Flavio Piccoli, Raimondo Schettini) In Remote Sensing Applications: Society and Environment, volume 28, pp. 100823, 2022.

@article{BARBATO2022100823,
 author = {Barbato, Mirko Paolo and Napoletano, Paolo and Piccoli, Flavio and Schettini, Raimondo},
 year = {2022},
 pages = {100823},
 title = {Unsupervised segmentation of hyperspectral remote sensing images with superpixels},
 volume = {28},
 journal = {Remote Sensing Applications: Society and Environment},
 url = {https://www.sciencedirect.com/science/article/pii/S2352938522001318},
 pdf = {/download//2204.12296.pdf},
 doi = {https://doi.org/10.1016/j.rsase.2022.100823},
 issn = {2352-9385}}