Next Article in Journal
Airborne SAR Imaging Algorithm for Ocean Waves Based on Optimum Focus Setting
Next Article in Special Issue
Sea Surface Roughness Observed by High Resolution Radar
Previous Article in Journal
A Comparison of Three Sediment Acoustic Models Using Bayesian Inversion and Model Selection Techniques
Previous Article in Special Issue
A Wind Speed Retrieval Model for Sentinel-1A EW Mode Cross-Polarization Images
Open AccessArticle

Extension of Ship Wake Detectability Model for Non-Linear Influences of Parameters Using Satellite Based X-Band Synthetic Aperture Radar

German Aerospace Center, Henrich-Focke-Str. 4, 28199 Bremen, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(5), 563; https://doi.org/10.3390/rs11050563
Received: 29 January 2019 / Revised: 24 February 2019 / Accepted: 25 February 2019 / Published: 7 March 2019
(This article belongs to the Special Issue Sea Surface Roughness Observed by High Resolution Radar)
The physics of the imaging mechanism underlying the emergence of ship wakes in Synthetic Aperture Radar (SAR) images has been studied in the past by many researchers providing a well-understood theory. Therefore, many publications describe how well ship wakes are detectable on SAR under the influence of different environmental conditions like sea state or local wind, ship properties like ship speed or ship heading, and image acquisition parameters like incidence angle or satellite heading. The increased imaging capabilities of current satellite SAR missions facilitate the collection of large datasets of moving vessels. Such a large dataset of high resolution TerraSAR-X acquisitions now enables the quantitative analysis of the previously formulated theory about the detectability of ship wakes using real data. In this paper we propose an extension of our wake detectability model by using a non-linear basis which allows consideration of all the influencing parameters simultaneously. Such an approach provides new insights and a better understanding of the non-linear influence of parameters on the wake detectability and their interdependencies can now be represented. The results show that the non-linear, interdependent influence of the different influencing parameters on the detectability of wakes matches well to the oceanographic expectations published in the past. Also possible applications of the model for the extraction of missing parameters and automatic for wake detection systems are demonstrated. View Full-Text
Keywords: Wake detection; Synthetic Aperture Radar; support vector machines; detectability model Wake detection; Synthetic Aperture Radar; support vector machines; detectability model
Show Figures

Graphical abstract

MDPI and ACS Style

Tings, B.; Pleskachevsky, A.; Velotto, D.; Jacobsen, S. Extension of Ship Wake Detectability Model for Non-Linear Influences of Parameters Using Satellite Based X-Band Synthetic Aperture Radar. Remote Sens. 2019, 11, 563.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop