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Ao, Dongyang and Datcu, Mihai (2018) Ship Azimuth Velocity Estimation in TerraSAR-X data based on Minimum-Entropy Criterion. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 1-4. EUSAR 2018, 2018-06-07 - 2018-06-10, Aachen, Germany.
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Official URL: http://conference.vde.com/eusar/2018/Pages/default.aspx
Abstract
This paper proposed a new method to estimate the ship azimuth velocity in TerraSAR-X data based on the minimum-entropy criterion. The moving targets in synthetic aperture radar images are blurred because of the mismatch of the desired signal of stationary targets. Applying the image entropy, a simple parameter to evaluate the extent of the defocusing, the azimuth velocity can be recovered through searching the minima of the entropy curves. The signal models of moving targets are analyzed and their behaviors in SAR images are deduced in this paper. Experiment results show that our method for estimating ship azimuthal velocities in TerraSAR-X data has high precision and is robust.
| Item URL in elib: | https://elib.dlr.de/120528/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||||||
| Title: | Ship Azimuth Velocity Estimation in TerraSAR-X data based on Minimum-Entropy Criterion | ||||||||||||
| Authors: |
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| Date: | June 2018 | ||||||||||||
| Journal or Publication Title: | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | Yes | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | Yes | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Page Range: | pp. 1-4 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Ship detection, TerraSAR-X, entropy, defocusing, azimuth velocity | ||||||||||||
| Event Title: | EUSAR 2018 | ||||||||||||
| Event Location: | Aachen, Germany | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Start Date: | 7 June 2018 | ||||||||||||
| Event End Date: | 10 June 2018 | ||||||||||||
| 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: | 22 Jun 2018 12:26 | ||||||||||||
| Last Modified: | 24 Apr 2024 20:24 |
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