Archivio Istituzionale della RicercaMONTANARO, ANTONIO
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Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification
2022 Montanaro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
Stack-CNN algorithm: A new approach for the detection of space objects
2022 Montanaro, A.; Ebisuzaki, T.; Bertaina, M.
UV telescope TUS on board Lomonosov satellite: Selected results of the mission
2022 Barghini, Dario; Bertaina, Mario; Cellino, Alberto; Fenu, Francesco; Ferrarese, Silvia; Golzio, Alessio; Ruiz-Hernandez, Oliver I.; Klimov, Pavel; Montanaro, Antonio; Salsi, Anthony; Sharakin, Sergei; Sigaeva, Ksenia; Zotov, Mikhail
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification / Montanaro, A., Valsesia, D., Fracastoro, G., Magli, E.. - In: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. - ISSN 1545-598X. - STAMPA. - 19:(2022), pp. 1-5. [10.1109/lgrs.2022.3195259] | 1-gen-2022 | Antonio MontanaroDiego ValsesiaGiulia FracastoroEnrico Magli | Semi-Supervised_Learning_for_Joint_SAR_and_Multispectral_Land_Cover_Classification.pdf; Self_supervised_multispectral_segmentation.pdf |
| Stack-CNN algorithm: A new approach for the detection of space objects / Montanaro, A., Ebisuzaki, T., Bertaina, M.. - In: JOURNAL OF SPACE SAFETY ENGINEERING. - ISSN 2468-8967. - ELETTRONICO. - 9:1(2022), pp. 72-82. [10.1016/j.jsse.2022.01.001] | 1-gen-2022 | Montanaro, A. + | stack-cnn_preprint.pdf; stack-cnn_postprint.pdf; 1-s2.0-S2468896722000015-main.pdf |
| UV telescope TUS on board Lomonosov satellite: Selected results of the mission / Barghini, D., Bertaina, M., Cellino, A., Fenu, F., Ferrarese, S., Golzio, A., Ruiz-Hernandez, O.I., Klimov, P., Montanaro, A., Salsi, A., Sharakin, S., Sigaeva, K., Zotov, M.. - In: ADVANCES IN SPACE RESEARCH. - ISSN 0273-1177. - ELETTRONICO. - 70:9(2022), pp. 2734-2749. [10.1016/j.asr.2021.11.044] | 1-gen-2022 | Montanaro, Antonio + | TUS_JASR_2021_v1.pdf; TUS_JASR_2021_rev1.pdf; Montanaro-UV.pdf |