{"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\/es\/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;<\/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":[],"_links":{"self":[{"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/posts\/2657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/comments?post=2657"}],"version-history":[{"count":0,"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/posts\/2657\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/media\/2658"}],"wp:attachment":[{"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/media?parent=2657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/categories?post=2657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vicorob.udg.edu\/es\/wp-json\/wp\/v2\/tags?post=2657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}