{"id":2657,"date":"2014-04-01T10:24:41","date_gmt":"2014-04-01T09:24:41","guid":{"rendered":"http:\/\/vicorob.udg.edu\/?p=2657"},"modified":"2014-04-01T10:24:41","modified_gmt":"2014-04-01T09:24:41","slug":"automated-underwater-object-classification-using-optical-imagery","status":"publish","type":"post","link":"https:\/\/vicorob.udg.edu\/ca\/automated-underwater-object-classification-using-optical-imagery\/","title":{"rendered":"Automated underwater object classification using optical imagery"},"content":{"rendered":"<h4>PhD Thesis <em>\u201cAutomated underwater object classification using optical imagery\u201d<\/em><\/h4>\n<p>&nbsp;<br \/>\nBy <strong>Shihavuddin, A.S.M<\/strong><br \/>\nSupervised by<strong> Dr. Nuno Gr\u00e1cias, Dr. Rafael Garc\u00eda<br \/>\n<\/strong><\/p>\n<p>&nbsp;<\/p>\n<h3>Abstract<\/h3>\n<p>This thesis addresses the problem of automated underwater optical image characterization. Remote underwater optical sensing allows the collection and storage of vast amounts of data for which manual classification may take months. Supervised automated classification of such datasets can save time and resources and can also enable extraction of valuable information related to marine and geological research.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PhD Thesis \u201cAutomated underwater object classification using optical imagery\u201d &nbsp; By Shihavuddin, A.S.M Supervised by Dr. Nuno Gr\u00e1cias, Dr. Rafael Garc\u00eda &nbsp; Abstract This thesis addresses the problem of automated underwater optical image characterization. Remote underwater optical sensing allows the collection and storage of vast amounts of data for which manual classification may take months.&hellip;&nbsp;<a href=\"https:\/\/vicorob.udg.edu\/ca\/automated-underwater-object-classification-using-optical-imagery\/\" rel=\"bookmark\"><span class=\"screen-reader-text\">Automated underwater object classification using optical imagery<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":2658,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[12,58],"tags":[],"class_list":["post-2657","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-scientific-results"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Automated underwater object classification using optical imagery - Vicorob<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Automated underwater object classification using optical imagery - Vicorob\" \/>\n<meta property=\"og:description\" content=\"PhD Thesis \u201cAutomated underwater object classification using optical imagery\u201d &nbsp; By Shihavuddin, A.S.M Supervised by Dr. Nuno Gr\u00e1cias, Dr. Rafael Garc\u00eda &nbsp; Abstract This thesis addresses the problem of automated underwater optical image characterization. Remote underwater optical sensing allows the collection and storage of vast amounts of data for which manual classification may take months.&hellip;&nbsp;Automated underwater object classification using optical imagery\" \/>\n<meta property=\"og:url\" content=\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/\" \/>\n<meta property=\"og:site_name\" content=\"Vicorob\" \/>\n<meta property=\"article:published_time\" content=\"2014-04-01T09:24:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/vicorob.udg.edu\/wp-content\/uploads\/2014\/04\/ASM.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"600\" \/>\n\t<meta property=\"og:image:height\" content=\"400\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Neorg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrit per\" \/>\n\t<meta name=\"twitter:data1\" content=\"Neorg\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/\",\"url\":\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/\",\"name\":\"Automated underwater object classification using optical imagery - Vicorob\",\"isPartOf\":{\"@id\":\"https:\/\/vicorob.udg.edu\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/vicorob.udg.edu\/wp-content\/uploads\/2014\/04\/ASM.jpg\",\"datePublished\":\"2014-04-01T09:24:41+00:00\",\"author\":{\"@id\":\"https:\/\/vicorob.udg.edu\/#\/schema\/person\/61f363276601024930b11acf89f8cee8\"},\"breadcrumb\":{\"@id\":\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/#breadcrumb\"},\"inLanguage\":\"ca\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"ca\",\"@id\":\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/#primaryimage\",\"url\":\"https:\/\/vicorob.udg.edu\/wp-content\/uploads\/2014\/04\/ASM.jpg\",\"contentUrl\":\"https:\/\/vicorob.udg.edu\/wp-content\/uploads\/2014\/04\/ASM.jpg\",\"width\":600,\"height\":400,\"caption\":\"ASM\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/vicorob.udg.edu\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Automated underwater object classification using optical imagery\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/vicorob.udg.edu\/#website\",\"url\":\"https:\/\/vicorob.udg.edu\/\",\"name\":\"Vicorob\",\"description\":\"Computer Vision and Robotics Research Group\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/vicorob.udg.edu\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ca\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/vicorob.udg.edu\/#\/schema\/person\/61f363276601024930b11acf89f8cee8\",\"name\":\"Neorg\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ca\",\"@id\":\"https:\/\/vicorob.udg.edu\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/10d8574102d7dcecdce3e72f5dec516c1b8a7e631542b0d0010ab70b945ea708?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/10d8574102d7dcecdce3e72f5dec516c1b8a7e631542b0d0010ab70b945ea708?s=96&d=mm&r=g\",\"caption\":\"Neorg\"},\"sameAs\":[\"https:\/\/vicorob.udg.edu\"],\"url\":\"https:\/\/vicorob.udg.edu\/ca\/author\/neorg_us\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Automated underwater object classification using optical imagery - Vicorob","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/vicorob.udg.edu\/automated-underwater-object-classification-using-optical-imagery\/","og_locale":"ca_ES","og_type":"article","og_title":"Automated underwater object classification using optical imagery - Vicorob","og_description":"PhD Thesis \u201cAutomated underwater object classification using optical imagery\u201d &nbsp; 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