ConvMambaSR: Leveraging State-Space Models and CNNs in a Dual-Branch Architecture for Remote Sensing Imagery Super-Resolution

Deep learning-based super-resolution (SR) techniques play a crucial role in enhancing the spatial resolution of images. However, remote sensing images present substantial challenges due to their diverse features, complex structures, and significant size variations in ground objects. Moreover, recove...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Qiwei Zhu, Guojing Zhang, Xuechao Zou, Xiaoying Wang, Jianqiang Huang, Xilai Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-09-01
Schriftenreihe:	Remote Sensing
Schlagworte:	remote sensing state-space models convolutional neural networks super-resolution
Online-Zugang:	https://www.mdpi.com/2072-4292/16/17/3254
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!