Enhanced Resolution of FY4 Remote Sensing Visible Spectrum Images Utilizing Super-Resolution and Transfer Learning Techniques

Enhanced Resolution of FY4 Remote Sensing Visible Spectrum Images Utilizing Super-Resolution and Transfer Learning Techniques

Remote sensing images acquired by the FY4 satellite are crucial for regional cloud monitoring and meteorological services. Inspired by the success of deep learning networks in image super-resolution, we applied image super-resolution to FY4 visible spectrum (VIS) images. However, training a robust n...

Full description

Bibliographic Details
Main Authors: Bo Zhang, Muyuan Ma, Mingqing Wang, Danfeng Hong, Le Yu, Jie Wang, Peng Gong, Xiaomeng Huang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Fine-tuning
pretraining
remote sensing images
super-resolution
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9852675/

Internet

https://ieeexplore.ieee.org/document/9852675/

Similar Items