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

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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Bibliographic Details
Main Authors: Ghulam Farooque, Liang Xiao, Jingxiang Yang, Allah Bux Sargano
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
3D ConvLSTM
hyperspectral image classification
3D CNN
spectral-spatial feature extraction
residual network
deep learning
Online Access:https://www.mdpi.com/2072-4292/13/21/4348

Internet

https://www.mdpi.com/2072-4292/13/21/4348

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