Multiscale DenseNet Meets With Bi-RNN for Hyperspectral Image Classification

Multiscale DenseNet Meets With Bi-RNN for Hyperspectral Image Classification

Convolutional neural network (CNN) has been successfully introduced to hyperspectral image (HSI) classification and achieved effective performance. With the depth of the CNN increases, it may cause the gradient to become zero, and the structure lacks the utilization of the correlated spatial feature...

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Bibliographic Details
Main Authors: Lianhui Liang, Shaoquan Zhang, Jun Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
bidirection recurrent neural network (Bi-RNN)
convolutional neural network (CNN)
dense connected convolutional network (DenseNet)
hyperspectral image (HSI) classification
Online Access:https://ieeexplore.ieee.org/document/9809814/

Internet

https://ieeexplore.ieee.org/document/9809814/

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