HyperSFormer: A Transformer-Based End-to-End Hyperspectral Image Classification Method for Crop Classification

HyperSFormer: A Transformer-Based End-to-End Hyperspectral Image Classification Method for Crop Classification

Crop classification of large-scale agricultural land is crucial for crop monitoring and yield estimation. Hyperspectral image classification has proven to be an effective method for this task. Most current popular hyperspectral image classification methods are based on image classification, specific...

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Bibliographic Details
Main Authors: Jiaxing Xie, Jiajun Hua, Shaonan Chen, Peiwen Wu, Peng Gao, Daozong Sun, Zhendong Lyu, Shilei Lyu, Xiuyun Xue, Jianqiang Lu
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
crop classification
hyperspectral image classification
deep learning
transformer
semantic segmentation
Online Access:https://www.mdpi.com/2072-4292/15/14/3491

Internet

https://www.mdpi.com/2072-4292/15/14/3491

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