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Moving Ship Velocity Estimation Using TanDEM-X Data Based on Sub-Aperture Decomposition

Ao, Dongyang and Schwarz, Gottfried and Datcu, Mihai (2018) Moving Ship Velocity Estimation Using TanDEM-X Data Based on Sub-Aperture Decomposition. IEEE Geoscience and Remote Sensing Letters, 15 (10), pp. 1560-1564. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2018.2846399 ISSN 1545-598X

Full text not available from this repository.

Official URL: https://ieeexplore.ieee.org/document/8399506

Abstract

In this letter, a velocity estimation method for moving ships in SAR images is proposed based on a sub-aperture decomposition technique. In contrast to traditional methods, our method needs only a few SAR imaging parameters besides the SAR image itself. The behavior of moving ships in sub-aperture images is theoretically analyzed and the ship motion parameters in azimuth direction are accurately estimated. The proposed approach was tested on real SAR stripmap images acquired by TanDEM-X, a twin satellite SAR constellation. The estimated azimuth velocities perfectly fit the data recorded by the international Automatic Identification System (AIS).

Item URL in elib:https://elib.dlr.de/120464/
Document Type:Article
Title:Moving Ship Velocity Estimation Using TanDEM-X Data Based on Sub-Aperture Decomposition
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ao, Dongyangdongyang.ao (at) dlr.deUNSPECIFIED
Schwarz, GottfriedGottfried.Schwarz (at) dlr.deUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:October 2018
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:15
DOI :10.1109/LGRS.2018.2846399
Page Range:pp. 1560-1564
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:Moving target detection, ship detection, subaperture decomposition, synthetic aperture radar (SAR), TanDEM-X
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Dumitru, Corneliu Octavian
Deposited On:20 Jun 2018 12:12
Last Modified:22 Nov 2018 10:25

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