广西水利水电Issue(2)：1-7,14,8.
基于神经网络的SAR图像超分辨率重建技术研究
Research on super-resolution reconstruction technique of SAR images based on neural network
摘要
Abstract
Synthetic aperture radar(SAR)images play an important role in the fields of terrain mapping and crop phenology monitoring etc.In order to improve SAR image resolution,using the super-resolution reconstruction of SAR images supported by SRGAN,the model loading data structure is improved by use of Sentinel-1A radar satel-lite SAR images and GF-3 satellite SAR images of the same region to form the data set of training model,with the feature detail of Sentinel-1A radar satellite SAR images improved up to a level close to that of GF-3 satellite SAR image.The experiments show this method can enhance the feature detail of Sentinel-1A SAR images with the polar-isation mode of VV.关键词
生成对抗网络/SAR图像/图像超分辨率重建Key words
super-resolution generative adversarial networks(SRGAN)/SAR images/super-resolution reconstruc-tion of image分类
信息技术与安全科学引用本文复制引用
韦雨岑,叶子毅,庾露..基于神经网络的SAR图像超分辨率重建技术研究[J].广西水利水电,2024,(2):1-7,14,8.基金项目
广西水利厅科研[SK-2022-017] （）
