Spatial-Spectral Network for Hyperspectral Image Classification: A 3-D CNN and Bi-LSTM Framework

Spatial-Spectral Network for Hyperspectral Image Classification: A 3-D CNN and Bi-LSTM Framework

Recently, deep learning methods based on the combination of spatial and spectral features have been successfully applied in hyperspectral image (HSI) classification. To improve the utilization of the spatial and spectral information from the HSI, this paper proposes a unified network framework using...

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Bibliographic Details
Main Authors: Junru Yin, Changsheng Qi, Qiqiang Chen, Jiantao Qu
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
3-D convolutional neural network (3-D CNN)
deep learning
bidirectional long short-term memory (Bi-LSTM)
hyperspectral images (HSIs) classification
spatial-spectral
Online Access:https://www.mdpi.com/2072-4292/13/12/2353

Internet

https://www.mdpi.com/2072-4292/13/12/2353

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