SCTNet: A Shallow CNN–Transformer Network With Statistics-Driven Modules for Cloud Detection
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DOI: 10.1109/lgrs.2025.3561004
Abstract: Existing cloud detection methods often rely on deep neural networks, leading to excessive computational overhead. To address this, we propose a shallow convolutional neural network (CNN)–Transformer hybrid architecture that limits the maximum downsampling rate to… read more here.
Keywords: statistics driven; cloud detection; transformer; cnn transformer ... See more keywords