Validation of Ship Detection by the RADARSAT Synthetic Aperture Radar and the Ocean Monitoring Workstation

Vachon, P.W.; Thomas, Scott L.; Cranton, J.; Edel, H.; Henschel, Michael D.

doi:10.1080/07038992.2000.10874770

Cited by 57 publications

(20 citation statements)

References 4 publications

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“…Ship detection on SAR images has been intensively studied using data acquired from the Canadian Radarsat-1 satellite and the European satellites: ERS-1/2 (European Remote Sensing) and ENVISAT (Environmental Satellite). The detection capabilities from the aforementioned C-band data have been studied in [2]- [4]. More recent spaceborne SAR sensors, namely the Canadian Radarsat-2 (RS-2) satellite, the Italian CosmoSkyMed (CSK) satellites constellation or the German TerraSAR-X satellite, may provide additional capabilities for ship detection.…”

Section: Introductionmentioning

confidence: 99%

AIS-Based Evaluation of Target Detectors and SAR Sensors Characteristics for Maritime Surveillance

Pelich

Longepe

Mercier

et al. 2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This paper studies the performances of different ship detectors based on adaptive threshold algorithms. The detection algorithms are based on various clutter distributions and assessed automatically with a systematic methodology. Evaluation using large datasets of medium resolution SAR images and AIS (automatic identification system) data as ground truths allows to evaluate the efficiency of each detector. Depending on the datasets used for testing, the detection algorithms offer different advantages and disadvantages. The systematic method used in discriminating real detected targets and false alarms in order to determine the detection rate, allows us to perform an appropriate and consistent comparison of the detectors. The impact of SAR sensors characteristics (incidence angle, polarization, frequency and spatial resolution) is fully assessed, the vessels' length being also considered. Experiments are conducted on Radarsat-2 and CosmoSkymed ScanSAR datasets and AIS data acquired by coastal stations.

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Section: Introductionmentioning

confidence: 99%

AIS-Based Evaluation of Target Detectors and SAR Sensors Characteristics for Maritime Surveillance

Pelich

Longepe

Mercier

et al. 2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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show abstract

“…For a SAR image of single polarization, a ship can be separated from sea clutter with an appropriate choice of threshold of radar cross section (RCS), because the RCS of the ship is stronger than the surrounding sea clutter. Numerous studies have been conducted to detect ships using the amplitude values of single-polarization SAR images (Eldhuset 1996, Vachon et al 2000, Wackerman et al 2001, Kuo and Chen 2003. With the availability of polarimetric SAR (PolSAR) sensors that measure scattering characteristics of a target, researchers also use the data in ship detection.…”

Section: Introductionmentioning

confidence: 99%

“…Synthetic aperture radar (SAR) images have been widely used in maritime applications such as ship detection, traffic monitoring and immigration control (Vachon et al 2000, Wackerman et al 2001. For a SAR image of single polarization, a ship can be separated from sea clutter with an appropriate choice of threshold of radar cross section (RCS), because the RCS of the ship is stronger than the surrounding sea clutter.…”

Section: Introductionmentioning

confidence: 99%

Removal of azimuth ambiguities and detection of a ship: using polarimetric airborne C-band SAR images

Wang

Liao

2011

International Journal of Remote Sensing

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“…The images have been widely used in maritime applications such as ship detection, traffic monitoring, and immigration control [1,2]. As one analyzes SAR images, one constantly notices the existence of azimuth and range ambiguities within images.…”

Section: Introductionmentioning

confidence: 99%

Polarimetric Characteristics Analysis of Ship Target and Its Azimuth Ambiguities Based on PolSAR Images

Wang

Liao

2010

2010 International Conference on Multimedia Technology

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Azimuth ambiguities in SAR image are very common phenomena. The ambiguities are visually identifiable due to their high intensities in low radar backscatter background of sea environment. The ambiguities can be mistaken as ships and cause false alarms in ship detection. Therefore, for maritime applications (i.e. ship target detection), it is important to analyze the characteristic of azimuth ambiguities of targets. By using Eigenvalue-Eigenvector decomposition method, we analyze the polarimetric characteristics of ships and ambiguities. We conclude that the eigenvalues can be used to differentiate ship target and its azimuth ambiguities. One C-band JPL AIRSAR polarimetric data has been chosen to validate the conclusions.

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Validation of Ship Detection by the RADARSAT Synthetic Aperture Radar and the Ocean Monitoring Workstation

Cited by 57 publications

References 4 publications

AIS-Based Evaluation of Target Detectors and SAR Sensors Characteristics for Maritime Surveillance

AIS-Based Evaluation of Target Detectors and SAR Sensors Characteristics for Maritime Surveillance

Removal of azimuth ambiguities and detection of a ship: using polarimetric airborne C-band SAR images

Polarimetric Characteristics Analysis of Ship Target and Its Azimuth Ambiguities Based on PolSAR Images

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