Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label Transition in Aerial Images

This paper proposes a novel uncertainty-adjusted label transition (UALT) method for weakly supervised solar panel mapping (WS-SPM) in aerial Images. In weakly supervised learning (WSL), the noisy nature of pseudo labels (PLs) often leads to poor model performance. To address this problem, we formula...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 08., Seite 881-896
Auteur principal:	Zhang, Jue (Auteur)
Autres auteurs:	Jia, Xiuping, Zhou, Jun, Zhang, Junpeng, Hu, Jiankun
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article