{"id":1685,"date":"2024-10-25T07:07:22","date_gmt":"2024-10-25T07:07:22","guid":{"rendered":"https:\/\/seda.hi-iberia.es\/?p=1685"},"modified":"2024-10-25T07:21:04","modified_gmt":"2024-10-25T07:21:04","slug":"segmentacion-de-edificios","status":"publish","type":"post","link":"https:\/\/seda.hi-iberia.es\/en\/caso-de-uso\/segmentacion-de-edificios\/","title":{"rendered":"Buildings segmentation"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"1685\" class=\"elementor elementor-1685\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-981fa34 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"981fa34\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-532dcd6\" data-id=\"532dcd6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e8bbc27 elementor-widget elementor-widget-heading\" data-id=\"e8bbc27\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Buildings segmentation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2fda64a elementor-widget elementor-widget-text-editor\" data-id=\"2fda64a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"bkmrk-las-im%C3%A1genes-satelit\">Building vectorization, specifically through the detection of rooftops in high-resolution (HR) and very high-resolution (VHR) satellite images, is a key process in various fields, both civil and military. This approach allows for precise identification of building footprints using images with resolutions as fine as 1.5 meters per pixel.<\/p><p id=\"bkmrk-el-caso-de-uso-imple\">The use case implements a <strong>Deep Learning algorithms<\/strong> for the <strong>automated detection of rooftops<\/strong> in satellite images, facilitating accurate building vectorization. This process is essential in sectors such as:<\/p><ul id=\"bkmrk-%C3%81mbito-militar%3A-mejo\"><li><strong>Military domain:<\/strong>Enhances geospatial intelligence and strategic planning, enabling more precise and efficient decision-making.<\/li><li><strong>Urban planning:<\/strong>Useful for updating and maintaining geospatial databases of cities.<\/li><li><strong>Disaster management:<\/strong>Helps identify damaged buildings after natural disasters to optimize response and reconstruction efforts.<\/li><\/ul><p id=\"bkmrk-el-modelo%2C-integrado\">The model, integrated into the SEDA <strong>geospatial intelligence platform<\/strong>is based on a CNN U-Net architecture to segment rooftops. This improves accuracy and efficiency, reducing the required human intervention and speeding up the geospatial analysis process.<\/p><p id=\"bkmrk-el-proceso-de-vector\">The vectorization process generates the following output reports:<\/p><ul id=\"bkmrk-mapas-vectoriales%3A-p\"><li><strong>Vector maps:<\/strong>Polygons representing the detected rooftop footprints.<\/li><li><strong>Geospatial visualization:<\/strong>Maps showing the location and shape of detected buildings overlaid on satellite images.<\/li><\/ul><p>These results can be exported in standard geospatial formats (such as GeoJSON or Shapefile) for integration into other geographic information systems (GIS). <strong>GeoJSON<\/strong> o <strong>Shapefile<\/strong>for integration into other geographic information systems (GIS).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c3b4046 elementor-widget elementor-widget-image\" data-id=\"c3b4046\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"516\" src=\"https:\/\/seda.hi-iberia.es\/wp-content\/uploads\/2024\/10\/segmentacion-1024x516.png\" class=\"attachment-large size-large wp-image-1690\" alt=\"\" srcset=\"https:\/\/seda.hi-iberia.es\/wp-content\/uploads\/2024\/10\/segmentacion-1024x516.png 1024w, https:\/\/seda.hi-iberia.es\/wp-content\/uploads\/2024\/10\/segmentacion-300x151.png 300w, https:\/\/seda.hi-iberia.es\/wp-content\/uploads\/2024\/10\/segmentacion-768x387.png 768w, https:\/\/seda.hi-iberia.es\/wp-content\/uploads\/2024\/10\/segmentacion-1536x774.png 1536w, https:\/\/seda.hi-iberia.es\/wp-content\/uploads\/2024\/10\/segmentacion-18x9.png 18w, https:\/\/seda.hi-iberia.es\/wp-content\/uploads\/2024\/10\/segmentacion.png 1680w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Segm\u00e9ntaci\u00f3n de Edificios en el Aplicativo 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<div class=\"elementor-element elementor-element-9892417 elementor-widget elementor-widget-heading\" data-id=\"9892417\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Applications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2e325ef elementor-widget elementor-widget-text-editor\" data-id=\"2e325ef\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul id=\"bkmrk-inteligencia-militar\"><li><strong>Military intelligence:<\/strong>Allows for the detection, mapping, and analysis of structures of interest in strategic areas to improve planning and surveillance.<\/li><li><strong>Cartography and urban planning:<\/strong>Automatically updates maps of cities and rural areas, providing more accurate information for infrastructure management.<\/li><li><strong>Disaster management:<\/strong>Useful for identifying buildings affected by natural disasters like earthquakes or hurricanes, enabling a faster response.<\/li><li><strong>Sustainability and environmental analysis:<\/strong>Allows for the assessment of urban growth and its impact on the environment by comparing construction areas over time.<\/li><\/ul><p>The <strong>automatic vectorization of buildings<\/strong> through HR and VHR satellite images is a powerful and versatile tool that can be applied in multiple sectors. The use of <strong>Deep Learning algorithms<\/strong> not only improves detection accuracy but also optimizes the resources needed for geospatial analysis. This approach offers a robust solution to meet needs in both military and urban management and emergency response.<\/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":"<p>Segmentaci\u00f3n de edificios La vectorizaci\u00f3n de edificios, espec\u00edficamente a trav\u00e9s de la detecci\u00f3n de tejados en im\u00e1genes satelitales de alta (HR) y muy alta resoluci\u00f3n (VHR), es un proceso clave en diversos \u00e1mbitos, tanto civiles como militares. Este enfoque permite una identificaci\u00f3n precisa de las huellas de los edificios utilizando im\u00e1genes con resoluciones desde los [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1686,"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-1685","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\/1685","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=1685"}],"version-history":[{"count":7,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/posts\/1685\/revisions"}],"predecessor-version":[{"id":1697,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/posts\/1685\/revisions\/1697"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/media\/1686"}],"wp:attachment":[{"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/media?parent=1685"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/categories?post=1685"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/seda.hi-iberia.es\/en\/wp-json\/wp\/v2\/tags?post=1685"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}