Center Attention Network for Hyperspectral Image Classification

Center Attention Network for Hyperspectral Image Classification

Classification is one of the most important research topics in hyperspectral image (HSI) analyses and applications. Although convolutional neural networks (CNNs) have been widely introduced into the study of HSI classification with appreciable performance, the misclassification problem of the pixels...

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Bibliographic Details
Main Authors: Zhengang Zhao, Dan Hu, Hao Wang, Xianchuan Yu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
convolutional neural network
deep learning
hyperspectral image classification
spectral-spatial feature extraction
Online Access:https://ieeexplore.ieee.org/document/9376971/

Internet

https://ieeexplore.ieee.org/document/9376971/

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