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Quantum Transfer Learning for Real-World, Small, and High-Dimensional Remotely Sensed Datasets.

, , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)

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Polarimetric SAR data feature selection using measures of mutual information., , , and . IGARSS, page 1140-1143. IEEE, (2015)A bistatic SAR simulator for ground-based fixed-receiver geometry., , , and . IGARSS, page 6098-6101. IEEE, (2016)Applications of SAR Tomography on Persistent Scatterers detection, based on Beam-Forming filtering., , and . IGARSS, page 1428-1431. IEEE, (2016)Simplified bistatic SAR imaging with a fixed receiver and TerraSAR-X as transmitter of opportunity - first results., , , , , and . IGARSS, page 2094-2097. IEEE, (2016)Learning - unlearning for mining high resolution EO images., and . IGARSS, page 4761-4764. IEEE, (2007)A semantic framework for data retrieval in large remote sensing databases., , , and . IGARSS, page 5285-5288. IEEE, (2012)Generic object recognition in high resolution SAR images., , , , and . IGARSS, page 1629-1632. IEEE, (2010)Super-Resolution Multi-Look Detection in SAR Tomography., , , , and . Remote. Sens., 10 (12): 1894 (2018)Earth Observation Data Mining: A Use Case for Forest Monitoring., , , , , and . IGARSS, page 5359-5362. IEEE, (2019)Learning Physical Scattering Patterns from PolSAR Images by Using Complex-Valued CNN., , , , and . IGARSS, page 10019-10022. IEEE, (2019)