Semi-supervised learning-based satellite remote sensing object detection method for power transmission towers-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Semi-supervised learning-based satellite remote sensing object detection method for power transmission towers

Published:2023-09 Issue: Volume:9 Page:15-27
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Zha Wenting^ORCID,Hu Longwei,Duan Chunming,Li Yalong

Funder

National Natural Science Foundation of China

China University of Mining and Technology

Publisher

Elsevier BV

Subject

General Energy

Reference33 articles.

1. High voltage transmission tower detection and tracking in aerial video sequence using object-based image classification;Tragulnuch,2018

2. Image analysis-based automatic detection of transmission towers using aerial imagery;Dutta,2015

3. High-voltage transmission towers detection using hybrid polarimetric SAR data;Lei,2014

4. Deep learning based electric pylon detection in remote sensing images;Qiao;Remote Sens,2020

5. Electric tower target identification based on high-resolution SAR image and deep learning;Tian,2020

Cited by 5 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. Multimodal Colearning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. Design of infinite horizon LQR controller for discrete delay systems in satellite orbit control: A predictive controller and reduction method approach;Heliyon;2024-01

3. Enhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation;EURASIP Journal on Advances in Signal Processing;2023-12-21

4. A Review: Remote Sensing Image Object Detection Algorithm Based on Deep Learning;Electronics;2023-12-06

5. DL-2P-DDoSADF: Deep learning-based two-phase DDoS attack detection framework;Journal of Information Security and Applications;2023-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3