{"id":1280,"date":"2016-08-24T09:52:45","date_gmt":"2016-08-24T08:52:45","guid":{"rendered":"http:\/\/www.sfpt.fr\/hyperspectral\/?page_id=1280"},"modified":"2016-08-24T10:32:31","modified_gmt":"2016-08-24T09:32:31","slug":"ateliers-de-formation-aux-techniques-de-teledetection-hyperspectrale","status":"publish","type":"page","link":"https:\/\/www.sfpt.fr\/hyperspectral\/?page_id=1280","title":{"rendered":"Ateliers de formation aux techniques de t\u00e9l\u00e9d\u00e9tection hyperspectrale"},"content":{"rendered":"<p style=\"text-align: center;\"><strong><span style=\"text-decoration: underline;\">MERCREDI 11 MAI 2016<br \/>\n<\/span><\/strong><\/p>\n<p style=\"text-align: justify;\">Le pr\u00e9sentation des ateliers est t\u00e9l\u00e9chargeable <a href=\"http:\/\/www.sfpt.fr\/hyperspectral\/wp-content\/uploads\/2016\/08\/presentation_ateliers.pdf\" target=\"_blank\">ici<\/a> et les diff\u00e9rents supports de formation sont disponibles ci-dessous.<\/p>\n<p><strong>Th\u00e8me A<\/strong><\/p>\n<p style=\"text-align: justify;\">\u00ab Physique de la te\u0301le\u0301de\u0301tection hyperspectrale et pre\u0301traitements (correction atmosphe\u0301rique des images) \u00bb par Xavier Briottet, Directeur de Recherches \u00e0 l\u2019ONERA\/DOTA, Toulouse <a href=\"http:\/\/www.sfpt.fr\/hyperspectral\/wp-content\/uploads\/2016\/08\/sfpt_gh_atelier_A.pdf\" target=\"_blank\">PDF<\/a><\/p>\n<p><strong>Th\u00e8me B<\/strong><\/p>\n<p style=\"text-align: justify;\">\u00ab Classification d&#8217;images hyperspectrales \u00bb par le professeur Devis Tuia du De\u0301partement de Ge\u0301ographie de l\u2019Universite\u0301 de Zurich <a href=\"http:\/\/www.sfpt.fr\/hyperspectral\/wp-content\/uploads\/2016\/08\/sfpt_gh_atelier_B.pdf\" target=\"_blank\">PDF<\/a><\/p>\n<p><strong>Th\u00e8me C<\/strong><\/p>\n<p style=\"text-align: justify;\">\u00ab Probl\u00e8mes inverses appliqu\u00e9s \u00e0 l\u2019analyse de donn\u00e9es \u00bb par le Professeur Jose\u0301 M. Bioucas-Dias du Department of Electrical and Computer Engineering, IST, University of Lisbon<\/p>\n<ul>\n<li style=\"text-align: justify;\">Partie 1 : \u00ab Inverse Problems in Hyperspectral Imaging \u00bb <a href=\"http:\/\/www.sfpt.fr\/hyperspectral\/wp-content\/uploads\/2016\/08\/sfpt_gh_atelier_C_part_1_without_anim.pdf\" target=\"_blank\">PDF<\/a><\/li>\n<li style=\"text-align: justify;\">Partie 2 : \u00ab Inverse Problems in a Nutshell \u00bb <a href=\"http:\/\/www.sfpt.fr\/hyperspectral\/wp-content\/uploads\/2016\/08\/sfpt_gh_atelier_C_part_2_IP_nutshell_with_anim.pdf\" target=\"_blank\">PDF<\/a><\/li>\n<li style=\"text-align: justify;\">Partie 3.1 : \u00ab Hyperspectral denoising \u00bb <a href=\"http:\/\/www.sfpt.fr\/hyperspectral\/wp-content\/uploads\/2016\/08\/sfpt_gh_atelier_C_part_3_1_denoising_without_anim.pdf\" target=\"_blank\">PDF<\/a><\/li>\n<li style=\"text-align: justify;\">Partie 3.2 : \u00ab Hyperspectral sharpening \u00bb <a href=\"http:\/\/www.sfpt.fr\/hyperspectral\/wp-content\/uploads\/2016\/08\/sfpt_gh_atelier_C_part_3_2_sharpening_without_anim.pdf\" target=\"_blank\">PDF<\/a><\/li>\n<li style=\"text-align: justify;\">Partie 3.3 : \u00ab Hyperspectral Unmixing &#8211; Geometrical, Statistical, and Sparse Regression-Based Approaches \u00bb <a href=\"http:\/\/www.sfpt.fr\/hyperspectral\/wp-content\/uploads\/2016\/08\/sfpt_gh_atelier_C_part_3_3_unmixing.pdf\" target=\"_blank\">PDF<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>MERCREDI 11 MAI 2016 Le pr\u00e9sentation des ateliers est t\u00e9l\u00e9chargeable ici et les diff\u00e9rents supports de formation sont disponibles ci-dessous. Th\u00e8me A \u00ab Physique de la te\u0301le\u0301de\u0301tection hyperspectrale et pre\u0301traitements (correction atmosphe\u0301rique des images) \u00bb par Xavier Briottet, Directeur de Recherches \u00e0 l\u2019ONERA\/DOTA, Toulouse PDF Th\u00e8me B \u00ab Classification d&#8217;images hyperspectrales \u00bb par le professeur &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.sfpt.fr\/hyperspectral\/?page_id=1280\" class=\"more-link\">Continuer la lecture<span class=\"screen-reader-text\"> de &laquo;&nbsp;Ateliers de formation aux techniques de t\u00e9l\u00e9d\u00e9tection hyperspectrale&nbsp;&raquo;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"_s2mail":"yes","footnotes":""},"class_list":["post-1280","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.sfpt.fr\/hyperspectral\/index.php?rest_route=\/wp\/v2\/pages\/1280","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sfpt.fr\/hyperspectral\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.sfpt.fr\/hyperspectral\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.sfpt.fr\/hyperspectral\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sfpt.fr\/hyperspectral\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1280"}],"version-history":[{"count":10,"href":"https:\/\/www.sfpt.fr\/hyperspectral\/index.php?rest_route=\/wp\/v2\/pages\/1280\/revisions"}],"predecessor-version":[{"id":1286,"href":"https:\/\/www.sfpt.fr\/hyperspectral\/index.php?rest_route=\/wp\/v2\/pages\/1280\/revisions\/1286"}],"wp:attachment":[{"href":"https:\/\/www.sfpt.fr\/hyperspectral\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1280"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}