HSI-TransUNet: A transformer based semantic segmentation model for crop mapping from UAV hyperspectral imagery

Bowen Niu,Quanlong Feng,Boan Chen,Cong Ou,Yiming Liu,Jianyu Yang

Computers and Electronics in Agriculture（2022）

引用 7|浏览16

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摘要

•A deep learning model is proposed for crop mapping from UAV hyperspectral data.•The model could make full use of spatial and spectral features simultaneously.•The model yields an accuracy of 86% and a Kappa index of 0.8347.•The dataset, UAV-HSI-Crop, has been released to promote future studies.

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关键词

UAV,Hyperspectral remote sensing,Deep learning,Crop classification

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