Improved Fast R-CNN with Fusion of Optical and 3D Data for Robust Palm Tree Detection in High Resolution UAV Images-Reference-Cited by-同舟云学术

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Improved Fast R-CNN with Fusion of Optical and 3D Data for Robust Palm Tree Detection in High Resolution UAV Images

Published:2020-01 Issue:1 Volume:10 Page:122-127
ISSN:2010-3700
Container-title:International Journal of Machine Learning and Computing
language:
Short-container-title:IJMLC

Author:

Chen Zi Yan, ,Liao Iman Yi

Publisher

EJournal Publishing

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications

Link

http://www.ijmlc.org/vol10/908-AM0015.pdf

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rubber Tree Recognition Based on UAV RGB Multi-Angle Imagery and Deep Learning;Drones;2023-08-24

2. Digital Detection of Acacia Mangium Trees via Remote Sensing for Controlling the Invasive Population of Biodiversity Threats: Case Study in Brunei;Proceedings of the 2023 12th International Conference on Informatics, Environment, Energy and Applications;2023-02-17

3. Large-Scale Oil Palm Trees Detection from High-Resolution Remote Sensing Images Using Deep Learning;Big Data and Cognitive Computing;2022-08-24

4. Face Detection Method based on Lightweight Network and Weak Semantic Segmentation Attention Mechanism;Advances in Multimedia;2022-05-23

5. Large-scale Tree Detection through UAV-based Remote Sensing in Indonesia: Wallacea Case Study;2022 8th International Conference on Information Management (ICIM);2022-03

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