A Joint Network of 3D-2D CNN Feature Hierarchy and Pyramidal Residual Model for Hyperspectral Image Classification

A Joint Network of 3D-2D CNN Feature Hierarchy and Pyramidal Residual Model for Hyperspectral Image Classification

Since convolutional neural networks (CNN) can extract deeper features from hyperspectral images, they show good classification performance in the hyperspectral image (HSI) classification task. However, the performance of many CNN models is constrained by the complexity of hyperspectral pictures. The...

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Bibliographic Details
Main Authors: Hongwei Wei, Yufan Wang, Yu Sun, Jianfeng Zheng, Xiaodong Yu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
CNNs
2D-CNN
3D-CNN
HSI
ResNet
Online Access:https://ieeexplore.ieee.org/document/10847806/
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