SemiRS-COC : Semi-Supervised Classification for Complex Remote Sensing Scenes With Cross-Object Consistency

Semi-supervised learning (SSL), which aims to learn with limited labeled data and massive amounts of unlabeled data, offers a promising approach to exploit the massive amounts of satellite Earth observation images. The fundamental concept underlying most state-of-the-art SSL methods involves generat...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 19., Seite 3855-3870
1. Verfasser:	Liu, Qiang (VerfasserIn)
Weitere Verfasser:	Yue, Jun, Kuang, Yang, Xie, Weiying, Fang, Leyuan
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article