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Multiclass Cloud Detection for Very High-Resolution Satellite Imagery Using U-Net: A Multi-Sensor Validation Study
Cloud detection is a critical preprocessing step in very high-resolution (VHR) optical satellite image analysis, yet existing methods predominantly address binary cloud/non-cloud classification and are limited to single-sensor, single-region evaluations. This paper proposes a deep learning approach
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