Paintings are often made up of thousands of tiny brushstrokes, each going in a certain direction, that are not easily ...
Abstract: In recent years, superpixel-based graph convolutional networks (GCNs) have drawn increasing attention within the hyperspectral image (HSI) classification community. Due to the ...
Morning Overview on MSN
New diode design could shrink image sensors with built-in memory and compute
Every time a smartphone snaps a photo, millions of tiny light detectors capture the scene and then ferry all that raw data ...
Abstract: Hyperspectral image (HSI) classification is a key task in the field of remote sensing, aiming to assign category labels to each pixel by leveraging the spectral and spatial information in ...
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