A 3D CNN with spectral partitioning achieves competitive classification accuracy on the Indian Pines and Salinas hyperspectral datasets.
HSI classification involves assigning a cat- egorical class label to each unlabelled pixel based on the cor- responding spectral and/or spatial feature [1]
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Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification
A 3D CNN with spectral partitioning achieves competitive classification accuracy on the Indian Pines and Salinas hyperspectral datasets.