Pubblicazioni

A critical review on the state-of-the-art and future prospects of Machine Learning for Earth Observation Operations

2023 - ADVANCES IN SPACE RESEARCH

Miralles, Pablo; Thangavel, Kathiravan; Fulvio Scannapieco, Antonio; Jagadam, Nitya; Baranwal, Prerna; Faldu, Bhavin; Abhang, Ruchita; Bhatia, Sahil; Bonnart, Sebastien; Bhatnagar, Ishita; Batul, Beenish; Prasad, Pallavi; Ortega-GonzÃ¡lez, HÃ©ctor; Joseph, Harrish; More, Harshal; Morchedi, Sondes; Kumar Panda, Aman; Zaccaria Di Fraia, Marco; Wischert, Daniel; Stepanova, Daria

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing

2021 - International Geoscience and Remote Sensing Symposium (IGARSS)

Zaidenberg, D. A.; Sebastianelli, A.; Spiller, D.; Le Saux, B.; Ullo, S. L.

Deep transfer learning for land use and land cover classification. A comparative study

2021 - SENSORS

Naushad, R.; Kaur, T.; Ghaderpour, E.