Hyperspectral Image Classification With CapsNet and Markov Random Fields

Hyperspectral Image Classification With CapsNet and Markov Random Fields

Hyperspectral image (HSI) classification is one of the most challenging problems in understanding HSI. Convolutional neural network(CNN), with the strong ability to extract features using the hidden layers in the network, has been introduced to solve this problem. However, several fully connected la...

Full description

Bibliographic Details
Main Authors: Xuefeng Jiang, Yue Zhang, Wenbo Liu, Junyu Gao, Junrui Liu, Yanning Zhang, Jianzhe Lin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Capsule network
deep learning
hyperspectral image classification
Markov random fields
Online Access:https://ieeexplore.ieee.org/document/9214813/

Similar Items

Similar Items