Central Pixel-Based Dual-Branch Network for Hyperspectral Image Classification

Central Pixel-Based Dual-Branch Network for Hyperspectral Image Classification

Hyperspectral image classification faces significant challenges in effectively extracting and integrating spectral-spatial features from high-dimensional data. Recent deep learning (DL) methods combining Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have demonstrated exceptiona...

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Bibliographic Details
Main Authors: Dandan Ma, Shijie Xu, Zhiyu Jiang, Yuan Yuan
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
convolutional neural networks (CNNs)
vision transformers (ViTs)
dual-branch
hyperspectral image classification
spectral-spatial feature learning
Online Access:https://www.mdpi.com/2072-4292/17/7/1255
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