Ghaf Tree Detection from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Ghaf Tree Detection from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks

Published:2023-10-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Symposium on Networks, Computers and Communications (ISNCC)
language:
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Author:

Wang Guoxu¹,Leonce Andrew²,Edirisinghe E.A.³,Khafaga Tamer⁴,Simkins Gregory⁵,Yahya Umar⁶,Sher Shah Moayyed⁴

Affiliation:

1. Loughborough University,Department of Computer Science,Loughborough,UK

2. College of Technological Innovation Zayed University,United Arab Emirates

3. School of Computing & Mathematics Keele University,Keele,UK

4. King Salman Royal Nature Reserve,Kingdom of Saudi Arabia

5. Shaybah Wildlife Sanctuary,Kingdom of Saudi Arabia

6. Islamic University,Department of Computer Science,Kampala,Uganda

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323591/10323546/10323713.pdf?arnumber=10323713

Reference38 articles.

1. Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A Survey

2. Reluplex made more practical: Leaky ReLU

3. Challenges and Opportunities for UAV-Based Digital Elevation Model Generation for Flood-Risk Management: A Case of Princeville, North Carolina

4. How does batch normalization help optimization ?;santurkar;Advances in neural information processing systems,2018

5. Rich feature hierarchies for accurate object detection and semantic segmentation;girshick;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2014

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