{"id":1797,"date":"2024-10-25T10:09:53","date_gmt":"2024-10-25T10:09:53","guid":{"rendered":"https:\/\/seda.hi-iberia.es\/?p=1797"},"modified":"2024-10-25T10:15:15","modified_gmt":"2024-10-25T10:15:15","slug":"deteccion-de-estelas","status":"publish","type":"post","link":"https:\/\/seda.hi-iberia.es\/en\/caso-de-uso\/deteccion-de-estelas\/","title":{"rendered":"Wake detection"},"content":{"rendered":"
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The wake detection<\/strong> particularly interesting because of the challenges of identifying vessels that turn off their identification systems. Traditionally, optical and radar imaging have been used to locate ships, but these methods encounter difficulties when dealing with small ships or structures that can be confused<\/strong> with natural objects such as icebergs.<\/p>

The main challenges in ship wake detection center on confusion with other linear structures in the marine environment and the lack of quality data<\/strong>The scarcity of labeled datasets limits the training of advanced deep learning models, reducing the accuracy and robustness of detections. In addition, in radar (SAR) and optical imagery, wake features can easily be confused with other natural formations, such as ocean waves, spills or floating debris, complicating accurate identification.<\/p>

Deep learning-based algorithms have been developed that use \u201ctwo-step\u201d detection approaches, which first identify possible wake regions and then refine them, and \u201cone-step\u201d approaches, which are faster and more efficient by detecting and classifying wakes directly. These detections can be especially useful for maritime traffic control and homeland defense<\/strong>operations; wakes, which can extend several kilometers, provide a detectable trail despite the lack of direct ship signals.<\/p>

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Model input and output <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The model for input detection uses VHR (Very High Resolution) and HR optical imaging to detect the Kelvin wake<\/strong>the main component of the wakes and corresponding to the characteristic \u201cV\u201d shape, together with the turbulent wake<\/strong>which forms the line generated by ship propellers. For this purpose, a \u201cone-step\u201d approach based on convolutional neural networksCNN<\/strong>is employed, which demonstrates favorable behavior even on images of lower resolution than those used in their training.<\/p>

The model output provides in SEDA lines on the Kelvin wake (in green) next to the turbulent wake (in red) converging on the position of the originating ship, as can be seen in Figure 1 and 2.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Figure 1. SEDA representation of the output of the wake detection model. <\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Figure 2. Zoom on a detection at the output of the wake detection model in SEDA.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Figure 1 is a good example of how the wake of ships is much larger than the size of the ship, allowing in certain conditions to detect vessels that might not be identified with a detection model. Figure 2 shows in more detail some of these detections, where the model is able to identify the Kelvin wake and turbulent wake traces even when they overlap as they come from nearby ships.<\/p>

As a result, SEDA offers the possibility to download reports in customized formats such as\u00a0PowerPoint<\/strong>or reports in standardized formats such as\u00a0KML, NVG o Shapefile<\/strong>In addition, reports in NATO formats such as\u00a0ISRSREP y RECCEXREP<\/strong>\u00a0format are also available\u00a0NSIF<\/strong>.<\/p>

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Applications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The detection of both vessels and their wake provided by SEDA are particularly useful in maritime security and surveillance contexts, where a higher level of control over vessels seeking to remain hidden is allowed. Also in the fields of naval operations and rescue and salvage, where rapid detection of vessels in large search areas can be crucial to ensure the safety of the passengers.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

La detecci\u00f3n de estelas de barcos es especialmente interesante debido a los desaf\u00edos que plantea la identificaci\u00f3n de embarcaciones que apagan sus sistemas de identificaci\u00f3n. Tradicionalmente, se han utilizado im\u00e1genes \u00f3pticas y de radar para localizar barcos, pero estos m\u00e9todos encuentran dificultades cuando se trata de barcos peque\u00f1os o estructuras que pueden confundirse con objetos […]<\/p>","protected":false},"author":1,"featured_media":1807,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-full","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[55],"tags":[],"class_list":["post-1797","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-caso-de-uso"],"_links":{"self":[{"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/posts\/1797","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/comments?post=1797"}],"version-history":[{"count":5,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/posts\/1797\/revisions"}],"predecessor-version":[{"id":1808,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/posts\/1797\/revisions\/1808"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/media\/1807"}],"wp:attachment":[{"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/media?parent=1797"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/categories?post=1797"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/tags?post=1797"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}