Double-Branch Network with Pyramidal Convolution and Iterative Attention for Hyperspectral Image Classification

Double-Branch Network with Pyramidal Convolution and Iterative Attention for Hyperspectral Image Classification

Deep-learning methods, especially convolutional neural networks (CNN), have become the first choice for hyperspectral image (HSI) classification to date. It is a common procedure that small cubes are cropped from hyperspectral images and then fed into CNNs. However, standard CNNs find it difficult t...

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Bibliographic Details
Main Authors: Hao Shi, Guo Cao, Zixian Ge, Youqiang Zhang, Peng Fu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
hyperspectral
deep learning
convolutional neural network
attention mechanism
Online Access:https://www.mdpi.com/2072-4292/13/7/1403

Internet

https://www.mdpi.com/2072-4292/13/7/1403

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