Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning Machine

Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning Machine

Inaccurate Synthetic Aperture Radar (SAR) navigation information will lead to unknown phase errors in SAR data. Uncompensated phase errors can blur the SAR images. Autofocus is a technique that can automatically estimate phase errors from data. However, existing autofocus algorithms either have poor...

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Bibliographic Details
Main Authors: Zhi Liu, Shuyuan Yang, Zhixi Feng, Quanwei Gao, Min Wang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
synthetic aperture radar
autofocus
ensemble learning
extreme learning machine
convolutional neural network
Online Access:https://www.mdpi.com/2072-4292/13/14/2683

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