A Minority Sample Enhanced Sampler for Crop Classification in Unmanned Aerial Vehicle Remote Sensing Images with Class Imbalance

A Minority Sample Enhanced Sampler for Crop Classification in Unmanned Aerial Vehicle Remote Sensing Images with Class Imbalance

Deep learning techniques have become the mainstream approach for fine-grained crop classification in unmanned aerial vehicle (UAV) remote sensing imagery. However, a significant challenge lies in the long-tailed distribution of crop samples. This imbalance causes neural networks to focus disproporti...

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Bibliographic Details
Main Authors: Jiapei Cheng, Liang Huang, Bohui Tang, Qiang Wu, Meiqi Wang, Zixuan Zhang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Agriculture
Subjects:
crop classification
deep learning
long-tailed distribution
precision agriculture
re-sampling
UAV remote sensing
Online Access:https://www.mdpi.com/2077-0472/15/4/388

Internet

https://www.mdpi.com/2077-0472/15/4/388

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