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| 02160nam 2200301za 4500 |
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001 | 9.821304 |
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003 | CaOODSP |
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005 | 20240219183444 |
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007 | cr ||||||||||| |
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008 | 160719s2013 onc|||||o f000 0 eng d |
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040 | |aCaOODSP|beng |
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041 | |aeng|bfre |
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043 | |an-cn--- |
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086 | 1 |aD68-6/119-2013E-PDF |
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245 | 00|aValidation of oceansuite ship detection in RADARSAT-2 imagery with AISSat-1 space-based and MSSIS coastal AIS data |h[electronic resource] / |cby Nicholas Sandirasegaram ... [et al.]. |
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260 | |a[Ottawa] : |bDefence Research and Development Canada, |cc2013. |
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300 | |axii, 40 p. : |btables, graphs. |
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490 | 1 |aTechnical Memorandum ; |v2013-119 |
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500 | |a"November 2013." |
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504 | |aIncludes bibliographical references. |
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520 | |aOceanSuite (OS) is a software developed by the Department of National Defence Canada to carry out ship detection on RADARSAT-2 images within operational timeframes. In this report, OS ship detections are validated using AISSat-1 and MSSIS (Maritime Safety and Security Information System) Automatic Identification System (AIS) data. AISSat-1 is a Norwegian nanosatellite that carries a space-based AIS payload. MSSIS contains AIS data from coastal-based AIS receivers. A total of 18 RADARSAT-2 data collections were executed for this evaluation. Validation was conducted according to a set of predefined validation criteria. The OS detector performance was quantified in terms of probability of detection and probability of false alarm metrics. Validation results and associations between AISSat-1 and MSSIS, AISSat-1 and OS, and MSSIS and OS are reported. There we 1482 validated ships of which OS-declared 65%. OS alone accounted for more than 21% of the validated ships. |
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692 | 07|2gccst|aTechnical reports |
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693 | 07|aValidation |
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693 | 07|aAutomatic identification system |
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700 | 1 |aSandirasegaram, N. M. |q(Nicholas M.), |d1971- |
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710 | 2 |aDefence R&D Canada. |
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830 | #0|aTechnical memorandum (Defence R&D Canada)|v2013-119|w(CaOODSP)9.820564 |
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856 | 40|qPDF|s4.31 MB|uhttps://publications.gc.ca/collections/collection_2016/rddc-drdc/D68-6-119-2013-eng.pdf |
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