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Found 2 papers, 1 papers with code
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
In contrast to previous approaches, we do not impose restrictions over the source data sets, in which they do not have to be collected by the same sensors as the target data sets.
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network
However, the existing CNN-based models operate at the patch-level, in which pixel is separately classified into classes using a patch of images around it.
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