A Resolution and Localization Algorithm for Closely-Spaced Objects Based on Improved YOLOv5 Joint Fuzzy C-Means Clustering

A Resolution and Localization Algorithm for Closely-Spaced Objects Based on Improved YOLOv5 Joint Fuzzy C-Means Clustering

The presence of numerous space objects poses significant challenges to spacecraft launch, operation, and space security. To address this issue, a novel algorithm based on improved YOLOv5 joint Fuzzy C-Means (FCM) has been proposed for discerning and localizing closely-spaced objects (CSOs) in space....

Full description

Saved in:
Bibliographic Details
Main Authors: Yao Li, Xin Chen, Peng Rao, Shenghao Zhang, Guangsen Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Photonics Journal
Subjects:
Closely-spaced objects
YOLOv5
interpolation
particle distribution
fuzzy C-mean algorithm
resolution
Online Access:https://ieeexplore.ieee.org/document/10418965/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10418965/

Similar Items