SSTNT: A Spatial–Spectral Similarity Guided Transformer-in-Transformer for Hyperspectral Unmixing

Vision Transformers (ViTs), owing to their strong capability in modeling global contextual dependencies, have been widely adopted in hyperspectral image unmixing (HU). However, standard ViTs process images by partitioning them into non-overlapping patches, which disrupts spatial continuity at the pi...

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Bibliografski detalji

Glavni autori:	Xinyu Cui, Xinyue Zhang, Aoran Dai, Da Sun
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-03-01
Serija:	Photonics
Teme:	hyperspectral unmixing (HU) transformer Transformer-in-Transformer multi-head self-attention mechanism linear self-attention mechanism
Online pristup:	https://www.mdpi.com/2304-6732/13/3/276
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