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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ग्रंथसूची विवरण

मुख्य लेखकों:	Xinyu Cui, Xinyue Zhang, Aoran Dai, Da Sun
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2026-03-01
श्रृंखला:	Photonics
विषय:	hyperspectral unmixing (HU) transformer Transformer-in-Transformer multi-head self-attention mechanism linear self-attention mechanism
ऑनलाइन पहुंच:	https://www.mdpi.com/2304-6732/13/3/276
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