Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution

Real-world degradations deviate from ideal degradations, as most deep learning-based scenarios involve the ideal synthesis of low-resolution (LR) counterpart images by popularly used bicubic interpolation. Moreover, supervised learning approaches rely on many high-resolution (HR) and LR image pairin...

Descrición completa

Detalles Bibliográficos

Principais autores:	Divya Mishra, Ofer Hadar
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2023-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Blind image super-resolution (SR) data fusion deep learning self-fusion unsupervised image super-resolution (SR)
Acceso en liña:	https://ieeexplore.ieee.org/document/10025676/
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!