Scalloping suppression for ScanSAR images based on modified Kalman filter with preprocessing

Yang, W., Li, Y., Liu, W. orcid.org/0000-0003-2968-2888 et al. (3 more authors) (2021) Scalloping suppression for ScanSAR images based on modified Kalman filter with preprocessing. IEEE Transactions on Geoscience and Remote Sensing, 59 (9). pp. 7535-7546. ISSN 0196-2892

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 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: GaoFen-3 satellite; modified Kalman filter; scalloping suppression; scanning synthetic aperture radar (ScanSAR)
Dates:
  • Accepted: 28 September 2020
  • Published (online): 6 November 2020
  • Published: September 2021
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: 10 Nov 2020 12:17
Last Modified: 02 Feb 2022 14:37
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/tgrs.2020.3034098

Export

Statistics