MSSTFormer: Multiscale Spectral–Spatial Supertoken Aggregation Transformer for Hyperspectral Image Classification

Transformer-basedmethods have attracted attention in hyperspectral image (HSI) classification due to their powerful global modeling capability. However, the existing Transformer-based methods lack mechanisms to reinforce token representations, which lead to redundant features and limited discriminat...

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מידע ביבליוגרפי

Principais autores:	Hongtai Yao, Penghui Zhang, Chen Zheng, Le Zhao, Yong Jin, Meng Tian, Yandong Hou, Junwei Li, Qian Qiu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2026-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Hyperspectral image (HSI) classification local aggregation multiscale spectral–spatial features transformer
גישה מקוונת:	https://ieeexplore.ieee.org/document/11352814/
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