{"id":23397,"date":"2003-06-06T00:00:00","date_gmt":"2003-06-06T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/object-oriented-analysis-of-remote-sensing-images-for-land-cover-mapping-conceptual-foundations-and-a-segmentation-method-to-derive-a-baseline-partition-for-classification\/"},"modified":"2003-06-06T00:00:00","modified_gmt":"2003-06-06T00:00:00","slug":"object-oriented-analysis-of-remote-sensing-images-for-land-cover-mapping-conceptual-foundations-and-a-segmentation-method-to-derive-a-baseline-partition-for-classification","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/politecnica-de-madrid\/object-oriented-analysis-of-remote-sensing-images-for-land-cover-mapping-conceptual-foundations-and-a-segmentation-method-to-derive-a-baseline-partition-for-classification\/","title":{"rendered":"Object-oriented analysis of remote sensing images for land cover mapping: conceptual foundations and a segmentation method to derive a baseline partition for classification"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Guillermo Castilla Castellano <\/strong><\/h2>\n<p>El enfoque com\u00fanmente usado para analizar las im\u00e1genes de sat\u00e9lite con fines cartogr\u00e1ficos da lugar a resultados insatifactorios debido principalmente a que \u00fanicamente utiliza los patrones espectrales de los p\u00edxeles, ignorando casi por completo la estructura espacial de la imagen. Adem\u00e1s, la equiparaci\u00f3n de las clases de cubierta a tipos de materiales homog\u00e9neos permite que cualquier parte arbitrariamente delimitada dentro de una tesela del mapa siga siendo un referente del concepto definido por su etiqueta.  esta posibilidad es incongruente con el modelo jer\u00e1rquico del paisaje cada vez m\u00e1s aceptado en ecolog\u00eda del paisaje, que asume que la homogeneidad depende de la escala de observaci\u00f3n y en cualquier caso es m\u00e1s em\u00e1ntica que biof\u00edsica, y que por tanto los paisajes son intr\u00ednsecamente heterog\u00e9neos y est\u00e1n compuestos  de unidades (\u00abpatches\u00bb), que funcionan simult\u00e1neamente como un todo diferente de lo que les rodea y como parte de un todo mayor. por tanto se hace necesairo un nuevo enfoque (orientado a objetos) que sea compatible con este modelo y en el que las unidades b\u00e1sicas del an\u00e1lisis sean delimitadas de acuerdo a la variaci\u00f3n espacial del fen\u00f3meno estudiado. esta tesis pretende contribuir a este cambio de paradigma en teledetecci\u00f3n, y sus objetivos concretos son:  1,- poner de relieve las deficiencias del enfoque tradicionalmente empleado en la clasificaci\u00f3n de im\u00e1genes de sat\u00e9lite.  2,- sentar las bases conceptuales de un enfoque alternativo basado en zonas b\u00e1sicas clasificables como objetos.  3,- desarrollar e implementar una versi\u00f3n demostrativa de un m\u00e9todo autom\u00e1tico que convierte una imagen multiespectral en una capa vectorial formada por esas zonas.  la estrategia que se propone es producir, bas\u00e1ndose en la estructura espacial de las im\u00e1genes, una partici\u00f3n de estas en la que cada regi\u00f3n puede considerarse relativamente homog\u00e9nea y diferente de sus vecinas, y que adem\u00e1s supera (aunq<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Object-oriented analysis of remote sensing images for land cover mapping: conceptual foundations and a segmentation method to derive a baseline partition for classification<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Object-oriented analysis of remote sensing images for land cover mapping: conceptual foundations and a segmentation method to derive a baseline partition for classification <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Guillermo Castilla Castellano <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 06\/06\/2003<\/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>Joaquin Solana Guti\u00e9rrez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: javier Mart\u00ednez mill\u00e1n <\/li>\n<li>federico Gonz\u00e1lez alonso (vocal)<\/li>\n<li> Ruiz de la torre Juan (vocal)<\/li>\n<li>Carlos Pinilla ruiz (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Guillermo Castilla Castellano El enfoque com\u00fanmente usado para analizar las im\u00e1genes de sat\u00e9lite con fines cartogr\u00e1ficos da [&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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