Next Article in Journal
Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks
Next Article in Special Issue
Wave Height Estimation from First-Order Backscatter of a Dual-Frequency High Frequency Radar
Previous Article in Journal
Airborne LiDAR Data Filtering Based on Geodesic Transformations of Mathematical Morphology
Previous Article in Special Issue
Ship Detection in Optical Remote Sensing Images Based on Wavelet Transform and Multi-Level False Alarm Identification
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Technical Note

Performance Analysis of Ship Wake Detection on Sentinel-1 SAR Images

by
Maria Daniela Graziano
1,*,
Marco Grasso
2 and
Marco D’Errico
2
1
Department of Industrial Engineering, University of Naples “Federico II”, Piazzale Tecchio, 80, 80125 Naples, Italy
2
Department of Industrial and Information Engineering, University of Campania “Luigi Vanvitelli”, Via Roma, 29, 81031 Aversa (CE), Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2017, 9(11), 1107; https://doi.org/10.3390/rs9111107
Submission received: 27 September 2017 / Revised: 26 October 2017 / Accepted: 27 October 2017 / Published: 30 October 2017
(This article belongs to the Special Issue Instruments and Methods for Ocean Observation and Monitoring)

Abstract

A novel technique for ship wake detection has been recently proposed and applied on X-band Synthetic Aperture Radar images provided by COSMO/SkyMed and TerraSAR-X. The approach shows that the vast majority of wake features are correctly detected and validated in critical situations. In this paper, the algorithm was applied to 28 wakes imaged by Sentinel-1 mission with different polarizations and incidence angles with the aim of testing the method’s robustness with reference to radar frequency and resolution. The detection process is properly modified. The results show that the features were correctly classified in 78.5% of cases, whereas false confirmations occur mainly on Kelvin cusps. Finally, the results were compared with the algorithm performance on X-band images, showing that no significant difference arises. In fact, the total false confirmations rate was 15.8% on X-band images and 18.5% on C-band images. Moreover, since the main criticality concerns again the false confirmation of Kelvin cusps, the same empirical criterion suggested for the X-band SAR images yielded a negligible 1.5% of false detection rate.
Keywords: Radon Transform; SAR images; Sentinel-1; ship wake detection Radon Transform; SAR images; Sentinel-1; ship wake detection
Graphical Abstract

Share and Cite

MDPI and ACS Style

Graziano, M.D.; Grasso, M.; D’Errico, M. Performance Analysis of Ship Wake Detection on Sentinel-1 SAR Images. Remote Sens. 2017, 9, 1107. https://doi.org/10.3390/rs9111107

AMA Style

Graziano MD, Grasso M, D’Errico M. Performance Analysis of Ship Wake Detection on Sentinel-1 SAR Images. Remote Sensing. 2017; 9(11):1107. https://doi.org/10.3390/rs9111107

Chicago/Turabian Style

Graziano, Maria Daniela, Marco Grasso, and Marco D’Errico. 2017. "Performance Analysis of Ship Wake Detection on Sentinel-1 SAR Images" Remote Sensing 9, no. 11: 1107. https://doi.org/10.3390/rs9111107

APA Style

Graziano, M. D., Grasso, M., & D’Errico, M. (2017). Performance Analysis of Ship Wake Detection on Sentinel-1 SAR Images. Remote Sensing, 9(11), 1107. https://doi.org/10.3390/rs9111107

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop