Hyperspectral Image Classification Based on Multilevel Joint Feature Extraction Network

Hyperspectral Image Classification Based on Multilevel Joint Feature Extraction Network

Over the past few years, convolutional neural network (CNN) has been broadly adopted in remote sensing (RS) imagery processing areas due to its impressive capabilities in feature extraction. Nevertheless, it is still a challenge for CNN-based hyperspectral image (HSI) classification methods to extra...

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Bibliographic Details
Main Authors: Xiaochen Lu, Dezheng Yang, Fengde Jia, Yunlong Yang, Lei Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention details
convolutional neural network (CNN)
hyperspectral image (HSI)
image classification
multilevel feature extraction (MFE)
Online Access:https://ieeexplore.ieee.org/document/9591315/

Internet

https://ieeexplore.ieee.org/document/9591315/

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