Single-Look Complex COSMO-SkyMed SAR Data to Observe Metallic Targets at Sea

Migliaccio, M.; Nunziata, Ferdinando; Montuori, Antonio; Paes, Rafael Lemos

doi:10.1109/jstars.2012.2184271

Cited by 36 publications

(13 citation statements)

References 10 publications

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“…Certainly, this is mostly evident in situations where sea clutter is strong (as for harsh weather conditions). Regarding the two co-polarization channels (HH and VV), their performance is comparable, but, in some instances, the results for HH seem to be slightly better [45]. Besides the scattering from the sea (which is, on average, stronger in VV compared to HH), this fact may be due to the effect of dihedral scattering (e.g., double-bounce) between sea and vessel, especially if the vessel has one axis oriented along the azimuth direction.…”

Section: Discussionmentioning

confidence: 91%

Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms

et al. 2015

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The surveillance of maritime areas with remote sensing is vital for security reasons, as well as for the protection of the environment. Satellite-borne synthetic aperture radar (SAR) offers large-scale surveillance, which is not reliant on solar illumination and is rather independent of weather conditions. The main feature of vessels in SAR images is a higher backscattering compared to the sea background. This peculiarity has led to the development of several ship detectors focused on identifying anomalies in the intensity of SAR images. More recently, different approaches relying on the information kept in the spectrum of a single-look complex (SLC) SAR image were proposed. This paper is focused on two main issues. Firstly, two recently developed sub-look detectors are applied for the first time to ship detection. Secondly, new and well-known ship detection algorithms are compared in order to understand which has the best performance under certain circumstances and if the sub-look analysis improves ship detection. The comparison is done on real SAR data exploiting diversity in frequency and polarization. Specifically, the employed data consist of six RADARSAT-2 fine quad-polacquisitions over the North Sea, five TerraSAR-X HH/VV dual-polarimetric data-takes, also over the North Sea, and one ALOS-PALSAR quad-polarimetric dataset over Tokyo Bay. Simultaneously to the Remote Sens. 2015, 7 5417 SAR images, validation data were collected, which include the automatic identification system (AIS) position of ships and wind speeds. The results of the analysis show that the performance of the different sub-look algorithms considered here is strongly dependent on polarization, frequency and resolution. Interestingly, these sub-look detectors are able to outperform the classical SAR intensity detector when the sea state is particularly high, leading to a strong clutter contribution. It was also observed that there are situations where the performance improvement thanks to the sub-look analysis is not so noticeable.

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Section: Discussionmentioning

confidence: 91%

Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms

et al. 2015

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“…The wind information was provided by the Physical Oceanography Distributed Active Archive Center (PO.DAAC) that makes available science data to a wide user community [46][47][48]. The wind information was collected from two different sources depending on the SAR imagery acquisition period.…”

Section: Ancillary Wind Field Informationmentioning

confidence: 99%

Analysis on the Effects of SAR Imaging Parameters and Environmental Conditions on the Standard Deviation of the Co-Polarized Phase Difference Measured over Sea Surface

et al. 2018

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“…Algorithms for ship detection include the amplitude based Constant False Alarm Rate (CFAR) which is the standard and most widely used algorithm [541][542][543], multi-look cross-correlation [515,525], along-track InSAR [521,527], polarimetric analysis (with and without CFAR) [516,518,523,524,526,528,529,531,532], and others (see review papers [533][534][535][536] for further information).…”

Section: Ship Detection and Identificationmentioning

confidence: 99%

Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics

2013

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The present article is an introductory paper in this special issue on synthetic aperture radar (SAR). A short review is presented on the recent trend and development of SAR and related techniques with selected topics, including the fields of applications, specifications of airborne and spaceborne SARs, and information contents in and interpretations of amplitude data, interferometric SAR (InSAR) data, and polarimetric SAR (PolSAR) data. The review is by no means extensive, and as such only brief summaries of of each selected topics and key references are provided. For further details, the readers are recommended to read the literature given in the references theirin.

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Single-Look Complex COSMO-SkyMed SAR Data to Observe Metallic Targets at Sea

Cited by 36 publications

References 10 publications

Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms

Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms

Analysis on the Effects of SAR Imaging Parameters and Environmental Conditions on the Standard Deviation of the Co-Polarized Phase Difference Measured over Sea Surface

Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics

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