Hyperspectral Image Classification With Mixed Link Networks

Hyperspectral Image Classification With Mixed Link Networks

Convolutional neural networks (CNNs) have improved the accuracy of hyperspectral image (HSI) classification significantly. However, CNN models usually generate a large number of feature maps, which lead to high redundancy and cannot guarantee to effectively extract discriminative features for well c...

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Bibliographic Details
Main Authors: Zhe Meng, Licheng Jiao, Miaomiao Liang, Feng Zhao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
deep learning
hyperspectral image (HSI) classification
mixed link network (MLNet)
Online Access:https://ieeexplore.ieee.org/document/9335013/

Internet

https://ieeexplore.ieee.org/document/9335013/

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