Multiscale Feature Aggregation Capsule Neural Network for Hyperspectral Remote Sensing Image Classification

Multiscale Feature Aggregation Capsule Neural Network for Hyperspectral Remote Sensing Image Classification

Models based on capsule neural network (CapsNet), a novel deep learning method, have recently made great achievements in hyperspectral remote sensing image (HSI) classification due to their excellent ability to implicitly model the spatial relationship knowledge embedded in HSIs. However, the number...

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Bibliographic Details
Main Authors: Runmin Lei, Chunju Zhang, Xueying Zhang, Jianwei Huang, Zhenxuan Li, Wencong Liu, Hao Cui
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
convolutional neural network
capsule neural network
feature aggregation
residual connection
hyperspectral image classification
Online Access:https://www.mdpi.com/2072-4292/14/7/1652

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https://www.mdpi.com/2072-4292/14/7/1652

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