Pattern Integration and Enhancement Vision Transformer for Self-Supervised Learning in Remote Sensing

Recent self-supervised learning (SSL) methods have demonstrated impressive results in learning visual representations from unlabeled remote sensing images. However, most remote sensing images predominantly consist of scenographic scenes containing multiple ground objects without explicit foreground...

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Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Lu, Kaixuan, Zhang, Ruiqian, Huang, Xiao, Xie, Yuxing, Ning, Xiaogang, Zhang, Hanchao, Yuan, Mengke, Zhang, Pan, Wang, Tao, Liao, Tongkui
Format:	Artikel
Sprache:	eng
Schlagworte:	Change detection Clustering Image enhancement Image reconstruction Knowledge representation Land cover Modules Object recognition Remote sensing Self-supervised learning Semantic segmentation Vision
Online-Zugang:	Volltext
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