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.
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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/ | ||||||||||||||||
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Document Type: | Article | ||||||||||||||||
Title: | Moving Ship Velocity Estimation Using TanDEM-X Data Based on Sub-Aperture Decomposition | ||||||||||||||||
Authors: |
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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 - Earth Observation | ||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||||||||||
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: | 02 Nov 2023 09:41 |
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