Dual-View Spectral and Global Spatial Feature Fusion Network for Hyperspectral Image Classification
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DOI: 10.1109/tgrs.2023.3277467
Abstract: For hyperspectral image (HSI) classification, two branch networks generally use convolutional neural networks (CNNs) to extract the spatial features and long short-term memory (LSTM) to learn the spectral features. However, CNNs with a local kernel… read more here.
Keywords: view spectral; spatial feature; view; global spatial ... See more keywords