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Attention mechanism-based generative adversarial networks for cloud removal in Landsat images
First, attention maps of the input cloudy images are generated to extract the cloud distributions and features through an attentive recurrent network.
Naive Gabor Networks for Hyperspectral Image Classification
Specifically, we develop an innovative phase-induced Gabor kernel, which is trickily designed to perform the Gabor feature learning via a linear combination of local low-frequency and high-frequency components of data controlled by the kernel phase.
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