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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. (In Press)

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


Item URL in elib:https://elib.dlr.de/140045/
Document Type:Article
Additional Information:Copyright: © 2021 by the author. Licensee MDPI, Basel, Switzerland. // This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) // Tings B. Non-Linear Modeling of Detectability of Ship Wake Components in Dependency to Influencing Parameters Using Spaceborne X-Band SAR. Remote Sensing. 2021; 13(2):165 // Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers
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: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:In Press
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:11 Jan 2021 10:14

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