A method of estimating the velocity of moving targets for use in high-resolution wide-swath SAR imaging-Reference-Cited by-同舟云学术

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A method of estimating the velocity of moving targets for use in high-resolution wide-swath SAR imaging

Published:2018-01-23 Issue:4 Volume:9 Page:305-313
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Wang Xiangyu¹²,Wang Robert¹,Li Ning¹^ORCID,Fan Huaitao¹²^ORCID,Wang Yuying¹²

Affiliation:

1. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

2. Department of Space Microwave Remote Sensing System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China

Funder

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2017.1420263

Reference17 articles.

1. Simultaneous High-Resolution Wide-Swath SAR Imaging and Ground Moving Target Indication: Processing Approaches and System Concepts

2. Application of Fractional Fourier Transform to Moving Target Indication via Along-Track Interferometry

3. Estimation of Ship Radial Speed by Adaptive Processing of RADARSAT-1 Fine Mode Data

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1. Using the Displaced Phase Center Azimuth Multiple Beams Technique with Spaceborne Synthetic Aperture Radar Systems for Multichannel Reconstruction of Accelerated Moving Targets;Electronics;2023-12-10

2. Improved Moving Target Imaging Method for a Multichannel HRWS SAR System;IEEE Geoscience and Remote Sensing Letters;2023

3. A Radial Velocity Estimation Method of Moving Target for Azimuth Multichannel Hrws Sar;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17

4. A refocusing iterative optimization method based on the quad-beam mode for accurate estimation of the azimuth velocity of slow-moving targets using SAR;Remote Sensing Letters;2021-09-15

5. 3-D electromagnetic-model-based absolute attitude estimation using a deep neural network;Remote Sensing Letters;2021-08-31

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