Yang, W., Chen, J., Liu, W. orcid.org/0000-0003-2968-2888 et al. (1 more author) (2017) Moving Target Azimuth Velocity Estimation for the MASA Mode Based on Sequential SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (6). pp. 2780-2790. ISSN 1939-1404
Abstract
A novel azimuth velocity estimation method is proposed based on the multiple azimuth squint angles (MASA) imaging mode, acquiring sequential synthetic aperture radar images with different squint angles and time lags. The MASA mode acquisition geometry is given first, and the effect of target motion on azimuth offset and slant range offset is discussed in detail. Then, the azimuth velocity estimation accuracy is analyzed, considering the errors caused by registration, defocusing, and range velocity. Moreover, the interaction between target azimuth velocity and range velocity is studied for a better understanding of the azimuth velocity estimation error caused by the range velocity. With the proposed error compensation step, the new method can achieve a very high accuracy in azimuth velocity estimation, as verified by experimental results based on both simulated data and the TerraSAR-X data.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Synthetic aperture radar (SAR); velocity estimation; multiple azimuth squint angles; sequential images |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Aug 2017 12:19 |
Last Modified: | 22 Mar 2018 12:36 |
Published Version: | https://doi.org/10.1109/JSTARS.2016.2641744 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/JSTARS.2016.2641744 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120207 |