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Investigation of Object-Based Ship Detection Methods using Range-Compressed Airborne Radar Data

Loran, Tamara (2021) Investigation of Object-Based Ship Detection Methods using Range-Compressed Airborne Radar Data. Master's, University of Bonn (“Rheinische Friedrich-Wilhelms-Universität Bonn”).

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Abstract

The Microwaves and Radar Institute of the German Aerospace Center (DLR) is currently working on a project for detecting ships and estimating their parameters. For high-resolution radar, the ships can be considered as extended targets that are composed of several pixels. So far, this fact is ignored by state-of-the-art ship detection algorithms which carry out their detection decision by comparing each data pixel independently to a threshold. A transition from pixel-based to object-based detection (e.g., by considering a cluster of pixels) would lead to novel algorithms with advantages mainly under low signal-to-clutter plus noise conditions. In the frame of the master thesis, object-based ship detection methods should be investigated and implemented using Python. From the detected ship objects high-resolution radar images shall be generated by using already available imaging processors. The high-resolution radar images shall then be further used for estimating the ship dimensions. For this task, it is expected that object-based methods similarly as used for the detection can be employed. The master student will work with real multi-channel X-band radar data acquired over the North Sea with DLR’s airborne radar sensors F-SAR and DBFSAR.

Item URL in elib:https://elib.dlr.de/135144/
Document Type:Thesis (Master's)
Title:Investigation of Object-Based Ship Detection Methods using Range-Compressed Airborne Radar Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Loran, Tamaratamara.loran (at) dlr.deUNSPECIFIED
Date:March 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:90
Status:Published
Keywords:Synthetic Aperture Radar (SAR), ship detection, MTI
Institution:University of Bonn (“Rheinische Friedrich-Wilhelms-Universität Bonn”)
Department:Department of Geography
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - D.MoVe
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Deposited By: Barros Cardoso da Silva, Andre
Deposited On:08 Jun 2020 07:49
Last Modified:18 Mar 2021 17:10

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