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...

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Egile Nagusiak:	Qiwei Zhu, Guojing Zhang, Xuechao Zou, Xiaoying Wang, Jianqiang Huang, Xilai Li
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2024-09-01
Saila:	Remote Sensing
Gaiak:	remote sensing state-space models convolutional neural networks super-resolution
Sarrera elektronikoa:	https://www.mdpi.com/2072-4292/16/17/3254
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!