Commonality Feature Representation Learning for Unsupervised Multimodal Change Detection
The main challenge of multimodal change detection (MCD) is that multimodal bitemporal images (MBIs) cannot be compared directly to identify changes. To overcome this problem, this paper proposes a novel commonality feature representation learning (CFRL) and constructs a CFRL-based unsupervised MCD f...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 34(2025) vom: 22., Seite 1219-1233
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| 1. Verfasser: |
Liu, Tongfei
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Mingyang,
Gong, Maoguo,
Zhang, Qingfu,
Jiang, Fenlong,
Zheng, Hanhong,
Lu, Di |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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