LSKF-YOLO: Large Selective Kernel Feature Fusion Network for Power Tower Detection in High-Resolution Satellite Remote Sensing Images-Reference-Cited by-同舟云学术

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LSKF-YOLO: Large Selective Kernel Feature Fusion Network for Power Tower Detection in High-Resolution Satellite Remote Sensing Images

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Shi Chaojun¹^ORCID,Zheng Xian²^ORCID,Zhao Zhenbing¹^ORCID,Zhang Ke¹^ORCID,Su Zibo²^ORCID,Lu Qiaochu²

Affiliation:

1. Department of Electronics and Communication Engineering and Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding, Hebei, China

2. Department of Electronics and Communication Engineering, North China Electric Power University, Baoding, Hebei, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10500373.pdf?arnumber=10500373

Reference70 articles.

1. Unmanned Aerial Vehicle Intelligent Patrol-Inspection System Applied to Transmission Grid

2. Power Transmission Lines Inspection using Properly Equipped Unmanned Aerial Vehicle (UAV)

3. A transmission line inspection system based on remote sensing: System and its key technologies;Peng;Remote Sens. Inf.,2015

4. Remote sensing methods for power line corridor surveys

5. Power LinesVegetation enchroachment monitoring based on Satellite Stereo images using stereo matching

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