A Novel Adaptive Joint Time Frequency Algorithm by the Neural Network for the ISAR Rotational Compensation

A Novel Adaptive Joint Time Frequency Algorithm by the Neural Network for the ISAR Rotational Compensation

We propose a novel adaptive joint time frequency algorithm combined with the neural network (AJTF-NN) to focus the distorted inverse synthetic aperture radar (ISAR) image. In this paper, a coefficient estimator based on the artificial neural network (ANN) is firstly developed to solve the time-consu...

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Bibliographic Details
Main Authors: Zisheng Wang, Wei Yang, Zhuming Chen, Zhiqin Zhao, Haoquan Hu, Conghui Qi
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Remote Sensing
Subjects:
ISAR image
adaptive joint time-frequency
rotational motion compensation
neural network
Online Access:http://www.mdpi.com/2072-4292/10/2/334

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