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A<sup>2</sup>Former: An Airborne Hyperspectral Crop Classification Framework Based on a Fully Attention-Based Mechanism

Crop classification of farmland is of great significance for crop monitoring and yield estimation. Airborne hyperspectral systems can provide large-format hyperspectral farmland images. However, traditional machine learning-based classification methods rely heavily on handcrafted feature design, res...

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Principais autores: Anqi Kang, Hua Li, Guanghao Luo, Jingyu Li, Zhangcai Yin
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-01-01
Serier:Remote Sensing
Fag:
crop classification
airborne hyperspectral image (HSI)
attention mechanism
semantic segmentation
transformer
Online adgang:https://www.mdpi.com/2072-4292/18/2/220
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