Collaborative Static-Dynamic Teaching: A Semi-Supervised Framework for Stripe-like Space Target Detection

Collaborative Static-Dynamic Teaching: A Semi-Supervised Framework for Stripe-like Space Target Detection

Stripe-like space target detection (SSTD) plays a crucial role in advancing space situational awareness, enabling missions like satellite navigation and debris monitoring. Existing unsupervised methods often falter in low signal-to-noise ratio (SNR) conditions, while fully supervised approaches requ...

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Bibliographic Details
Main Authors:	Zijian Zhu, Ali Zia, Xuesong Li, Bingbing Dan, Yuebo Ma, Hongfeng Long, Kaili Lu, Enhai Liu, Rujin Zhao
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Remote Sensing
Subjects:	stripe-like space target detection (SSTD) semi-supervised learning collaborative static-dynamic teaching (CSDT) adaptive pseudo-labeling (APL)
Online Access:	https://www.mdpi.com/2072-4292/17/8/1341
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