{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T21:38:19Z","timestamp":1774647499239,"version":"3.50.1"},"reference-count":17,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2016,12,19]],"date-time":"2016-12-19T00:00:00Z","timestamp":1482105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The European Space Agency satellite Sentinel-2 provides multispectral images with pixel sizes down to 10 m. This high resolution allows for ship detection and recognition by determining a number of important ship parameters. We are able to show how a ship position, its heading, length and breadth can be determined down to a subpixel resolution. If the ship is moving, its velocity can also be determined from its Kelvin waves. The 13 spectrally different visual and infrared images taken using multispectral imagery (MSI) are \u201cfingerprints\u201d that allow for the recognition and identification of ships. Furthermore, the multispectral image profiles along the ship allow for discrimination between the ship, its turbulent wakes, and the Kelvin waves, such that the ship\u2019s length and breadth can be determined more accurately even when sailing. The ship\u2019s parameters are determined by using satellite imagery taken from several ships, which are then compared to known values from the automatic identification system. The agreement is on the order of the pixel resolution or better.<\/jats:p>","DOI":"10.3390\/rs8121033","type":"journal-article","created":{"date-parts":[[2016,12,23]],"date-time":"2016-12-23T04:09:09Z","timestamp":1482466149000},"page":"1033","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["A Direct and Fast Methodology for Ship Recognition in Sentinel-2 Multispectral Imagery"],"prefix":"10.3390","volume":"8","author":[{"given":"Henning","family":"Heiselberg","sequence":"first","affiliation":[{"name":"National Space Institute, Technical University of Denmark, 2800 Kongens Lyngby, Denmark"},{"name":"Joint Research &amp; Test Centre, Danish Defense Acquisition &amp; Logistics Org., Lautrupbjerg 1-5, 2750 Ballerup, Denmark"}]}],"member":"1968","published-online":{"date-parts":[[2016,12,19]]},"reference":[{"key":"ref_1","unstructured":"ESA Sentinel-2 Delivers First Images. 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Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/12\/1033\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:28:52Z","timestamp":1760210932000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/12\/1033"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,19]]},"references-count":17,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2016,12]]}},"alternative-id":["rs8121033"],"URL":"https:\/\/doi.org\/10.3390\/rs8121033","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,19]]}}}