PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images

Published:2023 Issue: Volume:32 Page:6248-6259
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Abdelfattah Rabab¹^ORCID,Wang Xiaofeng²^ORCID,Wang Song³^ORCID

Affiliation:

1. School of Computer Science and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, USA

2. Department of Electrical Engineering and Computing, University of South Carolina, Columbia, SC, USA

3. Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

https://ieeexplore.ieee.org/ielam/83/9991910/10301645-aam.pdf

Reference80 articles.

1. A system for obstacle detection during rotorcraft low altitude flight

2. Learning to Parse Wireframes in Images of Man-Made Environments

3. Holistically-Attracted Wireframe Parsing

4. PPGNet: Learning Point-Pair Graph for Line Segment Detection

5. End-to-End Wireframe Parsing

Cited by 4 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. LSNetv2: Improving weakly supervised power line detection with bipartite matching;Expert Systems with Applications;2024-09

2. Real-time power line segmentation detection based on multi-attention with strong semantic feature extractor;Journal of Real-Time Image Processing;2023-10-21

3. A power line segmentation model in aerial images based on an efficient multibranch concatenation network;Expert Systems with Applications;2023-10

4. PLPose: An efficient framework for detecting power lines via key points-based pose estimation;Journal of King Saud University - Computer and Information Sciences;2023-07

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