Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification
Convolutional neural networks have garnered increasing interest for the supervised classification of hyperspectral imagery.However, images with a wide variety ofspatial land-cover sizes can hinder the feature-extraction ability of traditional convolutional networks.Consequently, many approaches intended to extract multiscale features have emerged;