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cs.CV2026
PBLH Estimation from Satellite Radiances via a Dual-Encoder Transformer
Lorenzo Innocenti, Luca Catalano, Edoardo Arnaudo +4
Estimating the Planetary Boundary Layer Height (PBLH) from satellite observations is a challenging regression problem due to the indirect relationship between top-of-atmosphere rad…
cs.CV2024
FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation Models
Edoardo Arnaudo, Jacopo Lungo Vaschetti, Lorenzo Innocenti +4
Very-High Resolution (VHR) remote sensing imagery is increasingly accessible, but often lacks annotations for effective machine learning applications. Recent foundation models like…