{"id":131531,"date":"1996-01-01T00:00:00","date_gmt":"1996-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/deteccion-cfar-multiespectral-en-imagenes-texturadas\/"},"modified":"1996-01-01T00:00:00","modified_gmt":"1996-01-01T00:00:00","slug":"deteccion-cfar-multiespectral-en-imagenes-texturadas","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-tecnologicas\/deteccion-cfar-multiespectral-en-imagenes-texturadas\/","title":{"rendered":"Deteccion cfar multiespectral en imagenes texturadas."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Carlos Alberola Lopez <\/strong><\/h2>\n<p>El trabajo que aqui se resume esta orientado a concebir un esquema de deteccion de objetos en imagenes multiespectrales, de proposito general. Se comienza con una primera filosofia de deteccion cfar sobre estadistica gamma de dos parametros. A continuacion, y debido a los problemas encontrados en el primer dise\u00f1o, se introduce y analiza de forma exclusiva una variante del dise\u00f1o anterior, que se demuestra ser uniparametrica. Se exponen, asimismo, varios criterios para la extension multiespectral del algoritmos. En una segunda fase, se plantea el problema de la deteccion de objetos extensos.  para ello, se proponen y analizan varias tecnicas de posiciomiento de la referencia de estimacion con respecto al pixel bajo text. Asimismo, se aborda el problema de la obtencion de detecciones conexas. Este problema es resuelto a traves de un algoritmo de cierre de contornos parcialmente detectados, asi como mediante un segundo algoritmo de extraccion recursiva de componentes del blanco. Se procede a continuacion a ilustrar los algoritmos propuestos a traves de un estudio sistematico de capacidad de deteccion y control de falsa alarma sobre escenas y blancos sinteticos. Asimismo, se incluyen ejemplos de deteccion sobre imagenes naturales.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Deteccion cfar multiespectral en imagenes texturadas.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Deteccion cfar multiespectral en imagenes texturadas. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Carlos Alberola Lopez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1996<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Jos\u00e9 Ram\u00f3n Casar Corredera<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Narciso Garc\u00eda Santos <\/li>\n<li>Lu\u00eds Vergara Dom\u00ednguez (vocal)<\/li>\n<li>Miguel Lopez Coronado (vocal)<\/li>\n<li>Gregori Vazquez Grau (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Carlos Alberola Lopez El trabajo que aqui se resume esta orientado a concebir un esquema de deteccion [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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