Automated Power Lines Vegetation Monitoring Using High-Resolution Satellite Imagery-Reference-Cited by-同舟云学术

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Automated Power Lines Vegetation Monitoring Using High-Resolution Satellite Imagery

Published:2022-02 Issue:1 Volume:37 Page:308-316
ISSN:0885-8977
Container-title:IEEE Transactions on Power Delivery
language:
Short-container-title:IEEE Trans. Power Delivery

Author:

Gazzea Michele^ORCID,Pacevicius Michael^ORCID,Dammann Dyre Oliver^ORCID,Sapronova Alla,Lunde Torleif Markussen,Arghandeh Reza^ORCID

Funder

European Space Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/61/9690067/09354535.pdf?arnumber=9354535

Cited by 26 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. Evaluation and interpretation of landscapes from satellite imagery;GeoJournal;2024-08-01

2. Tree-Based Approach for Vegetation Monitoring and Risk Assessment Along Powerline Using High Resolution Satellite Image;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Semi-automatic Labeling of Satellite Images Using Texture Features and Hough Circle Transformation;SN Computer Science;2024-05-02

4. Transmission Line Quality Inspection Using AI;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

5. Machine Learning Algorithm and Multi Sensor Suite for Orbital Power Line Management and Wildfire Prediction;AIAA SCITECH 2024 Forum;2024-01-04

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