Quantitative Assessment Framework for Non-Structural Bird’s Nest Risk Information of Transmission Tower in High-Resolution UAV Images-Reference-Cited by-同舟云学术

Quantitative Assessment Framework for Non-Structural Bird’s Nest Risk Information of Transmission Tower in High-Resolution UAV Images

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Liao Jiawei¹^ORCID,Xu Haitao¹^ORCID,Fang Xia¹^ORCID,Miao Qiang²^ORCID,Zhu Gaoyi¹^ORCID

Affiliation:

1. School of Mechanical Engineering, Sichuan University, Chengdu, China

2. College of Electrical Engineering, Sichuan University, Sichuan, Chengdu, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Full-Time Post-Doctoral Research and Development Fund

Sichuan Province Science and Technology Innovation Seedling Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10112657.pdf?arnumber=10112657

Reference42 articles.

1. LS-Net: fast single-shot line-segment detector

2. Simple Baselines for Human Pose Estimation and Tracking

3. TTPLA: An aerial-image dataset for detection and segmentation of transmission towers and power lines;abdelfattah;Proc 15th Asian Conf Comput Vis,2020

4. Cascaded Pyramid Network for Multi-person Pose Estimation

5. Bidirection-Fusion-YOLOv3: An Improved Method for Insulator Defect Detection Using UAV Image

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