Hyperspectral Image Classification via a Novel Spectral–Spatial 3D ConvLSTM-CNN

In recent years, deep learning-based models have produced encouraging results for hyperspectral image (HSI) classification. Specifically, Convolutional Long Short-Term Memory (ConvLSTM) has shown good performance for learning valuable features and modeling long-term dependencies in spectral data. Ho...

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Autors principals:	Ghulam Farooque, Liang Xiao, Jingxiang Yang, Allah Bux Sargano
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-10-01
Col·lecció:	Remote Sensing
Matèries:	3D ConvLSTM hyperspectral image classification 3D CNN spectral-spatial feature extraction residual network deep learning
Accés en línia:	https://www.mdpi.com/2072-4292/13/21/4348
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