elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Non-Linear Modeling of Detectability of Ship Wake Components in dependency to Influencing Parameters using Spaceborne X-Band SAR

Tings, Björn (2021) Non-Linear Modeling of Detectability of Ship Wake Components in dependency to Influencing Parameters using Spaceborne X-Band SAR. Remote Sensing, 13 (2), 165_1-165_49. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs13020165. ISSN 2072-4292.

[img] PDF - Published version
35MB

Official URL: https://doi.org/10.3390/rs13020165

Abstract

The detection of the wakes of moving ships in Synthetic Aperture Radar (SAR) imagery requires the presence of wake signatures, which are sufficiently distinctive from the ocean background. Various wake components exist, which constitute the SAR signatures of ship wakes. For successful wake detection, the contrast between the detectable wake components and the background is crucial. The detectability of those wake components is affected by a number of parameters, which represent the image acquisition settings, environmental conditions or ship properties including voyage information. In this study the dependency of the detectability of individual wake components to these parameters is characterized. For each wake component a detectability model is built, which takes the influence of incidence angle, polarization, wind speed, wind direction, sea state (significant wave height, wavelength, wave direction), vessel’s velocity, vessel’s course over ground and vessel’s length into account. The presented detectability models are based on regression or classification using Support Vector Machines and a dataset of manually labelled TerraSAR‑X wake samples. The considered wake components are: near‑hull turbulences, turbulent wakes, Kelvin wake arms, Kelvin wake’s transverse waves, Kelvin wake’s divergent waves, V‑narrow wakes and ship‑generated internal waves. The statements derived about wake component detectability are mainly in good agreement with statements from previous research, but also some new assumptions are provided. The most expressive influencing parameter is the movement velocity of the vessels, as all wake components are more detectable the faster vessels move.

Item URL in elib:https://elib.dlr.de/140045/
Document Type:Article
Title:Non-Linear Modeling of Detectability of Ship Wake Components in dependency to Influencing Parameters using Spaceborne X-Band SAR
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Tings, BjörnBjoern.Tings (at) dlr.dehttps://orcid.org/0000-0002-1945-6433
Date:January 2021
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI :10.3390/rs13020165
Page Range:165_1-165_49
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue Target Recognition in Synthetic Aperture Radar Imagery
ISSN:2072-4292
Status:Published
Keywords:detectability model; machine learning; Synthetic Aperture Radar; wake detection
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 - SAR methods
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:11 Jan 2021 10:14
Last Modified:24 May 2022 23:46

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.