UniHSFormer X for Hyperspectral Crop Classification with Prototype-Routed Semantic Structuring

UniHSFormer X for Hyperspectral Crop Classification with Prototype-Routed Semantic Structuring

Hyperspectral imaging (HSI) plays a pivotal role in modern agriculture by capturing fine-grained spectral signatures that support crop classification, health assessment, and land-use monitoring. However, the transition from raw spectral data to reliable semantic understanding remains challenging—par...

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Bibliographic Details
Main Authors: Zhen Du, Senhao Liu, Yao Liao, Yuanyuan Tang, Yanwen Liu, Huimin Xing, Zhijie Zhang, Donghui Zhang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agriculture
Subjects:
hyperspectral imaging
crop classification
agricultural remote sensing
transformer architecture
semantic routing
prototype projection
Online Access:https://www.mdpi.com/2077-0472/15/13/1427
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https://www.mdpi.com/2077-0472/15/13/1427

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