Papers/2609.28580
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Token Clustering and Semantic Sequence Mamba for Hyperspectral Image Classification

Author1, Author2, Author3, Author4, Author5

hyperspectral imagingtoken clusteringsemantic sequencing
2609.28580
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1h ago

Abstract

This paper proposes STMamba, a method for hyperspectral image classification that organizes sparse tokens into semantically coherent sequences to improve accuracy.

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Core Claim

STMamba outperforms state-of-the-art methods in hyperspectral image classification by effectively organizing tokens based on semantic similarity.

Method / Result

STMamba achieved superior performance on three large-scale benchmark datasets.

Limitations

The method's reliance on complex clustering and dynamic selection strategies may hinder reproducibility.

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