Power Line Detection for Aerial Images Using Object-Based Markov Random Field With Discrete Multineighborhood System-Reference-Cited by-同舟云学术

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Power Line Detection for Aerial Images Using Object-Based Markov Random Field With Discrete Multineighborhood System

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhao Le¹^ORCID,Yao Hongtai²^ORCID,Fan Yajun¹^ORCID,Ma Haihua¹^ORCID,Li Zhihui¹^ORCID,Tian Meng³^ORCID

Affiliation:

1. Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou, China

2. School of Artificial Intelligence, and the International Joint Laboratory for Cooperative Vehicular Networks of Henan, Henan University, Zhengzhou, China

3. School of Automation, Wuhan University of Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Project of Zhengzhou Science and Technology Bureau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10368034.pdf?arnumber=10368034

Reference14 articles.

1. A Fast and Accurate Method of Power Line Intelligent Inspection Based on Edge Computing

2. Attentional Information Fusion Networks for Cross-Scene Power Line Detection

3. Towards automatic power line detection for a UAV surveillance system using pulse coupled neural filter and an improved Hough transform

4. Pylon line spatial correlation assisted transmission line detection

5. Automatic Extraction of Power Lines From Aerial Images

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