Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion

Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion

The emergence of a convolutional neural network (CNN) has greatly promoted the development of hyperspectral image (HSI) classification technology. However, the acquisition of HSI is difficult. The lack of training samples is the primary cause of low classification performance. The traditional CNN-ba...

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Bibliographic Details
Main Authors: Zixian Ge, Guo Cao, Xuesong Li, Peng Fu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Activation function
convolutional neural network (CNN)
deep learning
feature fusion
hyperspectral image (HSI) classification
Online Access:https://ieeexplore.ieee.org/document/9200676/

Internet

https://ieeexplore.ieee.org/document/9200676/

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