From Local to Global: Class Feature Fused Fully Convolutional Network for Hyperspectral Image Classification

From Local to Global: Class Feature Fused Fully Convolutional Network for Hyperspectral Image Classification

Current mainstream networks for hyperspectral image (HSI) classification employ image patches as inputs for feature extraction. Spatial information extraction is limited by the size of inputs, which makes networks unable to perform effective learning and reasoning from the global perspective. As a c...

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Bibliographic Details
Main Authors: Qian Liu, Zebin Wu, Xiuping Jia, Yang Xu, Zhihui Wei
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
deep learning
fully convolutional network
class feature fusion
Online Access:https://www.mdpi.com/2072-4292/13/24/5043

Internet

https://www.mdpi.com/2072-4292/13/24/5043

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