Enhancing cotton seedling recognition: a method for high-resolution UAV remote sensing images-Reference-Cited by-同舟云学术

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Enhancing cotton seedling recognition: a method for high-resolution UAV remote sensing images

Published:2024-08-27 Issue: Volume: Page:1-14
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xu Quan¹^ORCID,Jin Mengting¹^ORCID,Guo Peng²

Affiliation:

1. China Geological Survey Urumqi Comprehensive Survey Center on Natural Resources, Urumqi, China

2. College of Science, Shihezi University, Shihezi, China

Funder

Science and Technology Innovation Fund Project of Natural Resources Integrated Survey Command Centre

National Natural Science Foundation of China

China Geological Survey Project

Xinjiang Natural Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2391081

Reference34 articles.

1. Aerial Imagery Paddy Seedlings Inspection Using Deep Learning

2. A New Method for Crop Row Detection Using Unmanned Aerial Vehicle Images

3. In-Season Monitoring of Maize Leaf Water Content Using Ground-Based and UAV-Based Hyperspectral Data

4. Evaluation of cotton emergence using UAV-based imagery and deep learning

5. Object-Based Attention Mechanism for Color Calibration of UAV Remote Sensing Images in Precision Agriculture

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