Transfer Learning for Onboard Cloud Segmentation in Thermal Earth Observation: From Landsat to a CubeSat Constellation

arXiv — cs.CV•Tuesday, November 4, 2025 at 5:00:00 AM

A recent study highlights the innovative use of transfer learning for onboard cloud segmentation in thermal Earth observation, specifically for CubeSat missions like FOREST-2. This approach is significant because it addresses the limitations of conventional cloud masking techniques, which struggle with the restricted hardware and spectral data typical of CubeSats. By enhancing cloud segmentation capabilities, this research could improve the accuracy of thermal observations, making it a crucial advancement for future satellite missions.

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