Efficient Attention Transformer Network With Self-Similarity Feature Enhancement for Hyperspectral Image Classification

Recently, transformer has gained widespread application in hyperspectral image classification (HSIC) tasks due to its powerful global modeling ability. However, the inherent high-dimensional property of hyperspectral images (HSIs) leads to a sharp increase in the number of parameters and expensive c...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Yuyang Wang, Zhenqiu Shu, Zhengtao Yu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Schlagworte:	Attention hyperspectral image classification (HSIC) self-similarity spectral interactive transformer
Online-Zugang:	https://ieeexplore.ieee.org/document/10964176/
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!