Hyperspectral Image Classification Promotion Using Dynamic Convolution Based on Structural Re-Parameterization

Hyperspectral Image Classification Promotion Using Dynamic Convolution Based on Structural Re-Parameterization

In a hyperspectral image classification (HSIC) task, manually labeling samples requires a lot of manpower and material resources. Therefore, it is of great significance to use small samples to achieve the HSIC task. Recently, convolutional neural networks (CNNs) have shown remarkable performance in...

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Bibliographic Details
Main Authors: Chen Ding, Xu Li, Jingyi Chen, Yaoyang Xu, Mengmeng Zheng, Lei Zhang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
convolutional neural network (CNN)
dynamic convolution
large kernel
structural re-parameterization
Online Access:https://www.mdpi.com/2072-4292/15/23/5561

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https://www.mdpi.com/2072-4292/15/23/5561

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