SAR Image Autofocusing Based on Res-Unet

Author:

Tang Wen1,Qian Jiang1,Wang Lu2,Wang Yong3

Affiliation:

1. Yangtze Delta Region Institute (Huzhou), UESTC,Huzhou,P. R. China,313001

2. Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR),Singapore,138632

3. Planning, and Environment, East Carolina University,Dept. of Geography,Greenville,NC,USA,27858

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference8 articles.

1. A Synthetic Bandwidth Method for High-Resolution SAR Based on PGA in the Range Dimension;jincheng;SENSORS,2015

2. Multi-Subaperture PGA for SAR Autofocusing;daiyin;IEEE Transactions on Aerospace and Electronic Systems,2013

3. Airborne SAR Autofocus Based on Blurry Imagery Classification;jianlai;Remote Sensing,2021

4. Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning Machine;zhi;Remote Sensing,0

5. Loss Functions for Image Restoration With Neural Networks

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