2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2013
DOI: 10.1109/igarss.2013.6723289
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Comparison of ship detectors using polarimetric alos data: Tokyo Bay

Abstract: 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 … Show more

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Cited by 6 publications
(3 citation statements)
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“…For such a time-critical application in disaster mitigation, synthetic aperture radar (SAR) is appropriate and practicable due to its all-weather and its 24 hour imaging capabilities. Moreover, the detection of ships and other maritime objects with SAR has a long research history (e.g., [4][5][6][7][8][9][10][11]).…”
Section: Introductionmentioning
confidence: 99%
“…For such a time-critical application in disaster mitigation, synthetic aperture radar (SAR) is appropriate and practicable due to its all-weather and its 24 hour imaging capabilities. Moreover, the detection of ships and other maritime objects with SAR has a long research history (e.g., [4][5][6][7][8][9][10][11]).…”
Section: Introductionmentioning
confidence: 99%
“…Prominently assumed distributions in literature are Gaussian, K-Distribution [13], Weibull [14]. The popular ship detectors as per the literature and the frequently exploited data for this research domain are mentioned in [16], [17], [18] ALOS [19], [20], [17], [21] SENTINEL-1 [22], [15], [23], [24] RADARSAT-2 [22], [25], [26], [27], [20], [28], [29], [17] CosmoSkymed [22], [25], [30], [28] UAVSAR [26], [3] TerraSAR-X [31], [30], [29], [32], [24] RADARSAT [19], [22], [15], [30], [28], 15, [32], [21] GP-PNF [19], [31], [20] SPAN [16], [17] DoP [26] m…”
Section: A Organization Of the Papermentioning
confidence: 99%
“…Taking a single channel from multi-channel full-polarized SAR images, ship detection can be conducted with typical approaches designed for single-polarized SAR images. In [1], Marino et al utilized the cross-polarization channel HV image to detect ships. Up to now, many approaches have been proposed for single-polarized SAR imagery, including the following: the conventional constant false alarm rate (CFAR) detector and its different versions [2][3][4][5][6], saliency detectors [7,8], and deep learning networks [9][10][11], etc.…”
Section: Introductionmentioning
confidence: 99%