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DEMUNet: Dual Encoder Mamba U-Net for Hyperspectral Image Classification

Accurate classification and recognition of hyperspectral images (HSIs) represent a crucial task in remote sensing image processing. The transformer has emerged as a dominant method for HSI classification due to its powerful global modeling capabilities. However, the quadratic complexity associated w...

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Main Authors: Xiandai Cui, Li Zhang
Format: Artigo
Language:Inglês
Published: IEEE 2026-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
hyperspectral image (HSI)
Mamba
transformer
U-Net
Online Access:https://ieeexplore.ieee.org/document/11237075/
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