Detecting Wheat Heads from UAV Low-Altitude Remote Sensing Images Using Deep Learning Based on Transformer

Detecting Wheat Heads from UAV Low-Altitude Remote Sensing Images Using Deep Learning Based on Transformer

The object detection method based on deep learning convolutional neural network (CNN) significantly improves the detection performance of wheat head on wheat images obtained from the near ground. Nevertheless, for wheat head images of different stages, high density, and overlaps captured by the aeri...

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Bibliographic Details
Main Authors: Jiangpeng Zhu, Guofeng Yang, Xuping Feng, Xiyao Li, Hui Fang, Jinnuo Zhang, Xiulin Bai, Mingzhu Tao, Yong He
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
object detection
deep learning
remote sensing monitoring
phenotyping analysis
wheat head counting
UAV
Online Access:https://www.mdpi.com/2072-4292/14/20/5141

Internet

https://www.mdpi.com/2072-4292/14/20/5141

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