Results from the Crusade ship detection trial : polarimetric SAR

Yeremy, M.L.; Geling, G.; Rey, María Teresa de Tena

doi:10.1109/igarss.2002.1025642

Cited by 14 publications

(4 citation statements)

References 3 publications

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“…The cross-polarization (HV) channel is able to provide better ROC curves compared with the co-polarization ones (HH and VV). This outcome has been also observed by other researchers [3,21,40,41]. According to the Bragg model, sea clutter has a very low (or even null) backscattering in the cross-channel, leading in many circumstances to an increased contrast.…”

Section: Sub-look Processing In the Rangesupporting

confidence: 67%

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: Sub-look Processing In the Rangesupporting

confidence: 67%

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

et al. 2015

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“…It was anticipated [4] [5] that the additional information contained in polarimetric data would improve ship detection capabilities, overcoming drawbacks of single channel algorithms. The study carried out in [4] states that the use of multichannel data can overcome drawbacks of single channel ship detection algorithms, which have high false alarm rates and require human supervision. Moreover, several papers [5] [6] have investigated the use of polarization entropy for ship detection.…”

Section: Brief Overview Of the State Of The Artmentioning

confidence: 99%

Advances in unsupervised ship detection with multiscale techniques

Tello

López-Martínez

Mallorquí

et al. 2009

2009 IEEE International Geoscience and Remote Sensing Symposium

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This paper constitutes an example of analysis proving that new satellite borne full polSAR data is favorable for automatic ship detection purposes. In particular, this paper is based on a multiscale method for automatic ship enhancement based on the wavelet transform on single channel data and it proposes its extension to full polSAR images. Then, the enhancement of contrast of the ships with respect to the background sea reached with the method proposed is compared to that obtained by the classical polarization entropy.Index Terms-ship detection, quad polSAR data, wavelet transform.

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“…In case the distribution of the target is unknown the test can be set exploiting a parameterised pdf for the sea clutter and setting a Constant False Alarm Rate (CFAR). SAR polarimetry has a valuable contribution in improving ship detection capabilities ( [2,4]). It can readily be observed that the simple exploitation of the cross-polarised channel (HV ) rather than the co-polarised ones (HH or V V ) may increase substantially the detection performance.…”

Section: Introductionmentioning

confidence: 99%

Comparison of ship detectors using polarimetric alos data: Tokyo Bay

Marino

Sugimoto

Nunziata

et al. 2013

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS

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Ship detection with Synthetic Aperture Radar is a largely investigated topic and a series of operational algorithms are currently exploited by the users community. Polarimetry may play an important rule in this context, since the next generation of SAR satellites will be able to perform large swath polarimetric (either dual or compact) acquisitions. In this work, a comparison of promising ship detectors employing polarimetric information is performed over an ALOS-PALSAR quad-polarimetric dataset acquired over Tokyo Bay (October 2008). Interestingly, a survey of the area is available allowing to provide some quantitative comparison of the different detectors. The results show that the quad polarimetric detectors return better detection performance than the dualor single-polarimetric ones.

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Results from the Crusade ship detection trial : polarimetric SAR

Cited by 14 publications

References 3 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

Advances in unsupervised ship detection with multiscale techniques

Comparison of ship detectors using polarimetric alos data: Tokyo Bay

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