Hyperspectral image classification with deep 3D capsule network and Markov random field

Hyperspectral image classification with deep 3D capsule network and Markov random field

Abstract To address the existing problems of capsule networks in deep feature extraction and spatial‐spectral feature fusion of hyperspectral images, this paper proposes a hyperspectral image classification method that combines a deep residual 3D capsule network and Markov random field. Based on thi...

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Bibliographic Details
Main Authors: Xiong Tan, Zhixiang Xue, Xuchu Yu, Yifan Sun, Kuiliang Gao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:IET Image Processing
Subjects:
Image recognition
Computer vision and image processing techniques
Graphics techniques
Markov processes
Neural nets
Online Access:https://doi.org/10.1049/ipr2.12330

Internet

https://doi.org/10.1049/ipr2.12330

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