{"id":8366,"date":"2021-04-02T13:44:30","date_gmt":"2021-04-02T18:44:30","guid":{"rendered":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/?p=8366"},"modified":"2026-02-18T11:29:43","modified_gmt":"2026-02-18T16:29:43","slug":"spectral-variability-in-hsi-accepted-to-grsm","status":"publish","type":"post","link":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/2021\/04\/02\/spectral-variability-in-hsi-accepted-to-grsm\/","title":{"rendered":"SPECTRAL VARIABILITY IN HSI ACCEPTED TO GRSM!"},"content":{"rendered":"<p>Congratulations to our labmates and collaborators: Ricardo Augusto Borsoi, Tales Imbiriba, Jose Carlos Moreira Bermudez, Cedric Richard, Jocelyn Chanussot, Lucas Drumets, Jean-Yves Tourneret, <strong>Alina Zare<\/strong> and Christian Jutten!\u00a0 Their publication,<strong> &#8220;Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review&#8221;<\/strong> was recently accepted to the <strong><em>IEEE Geoscience and Remote Sensing Magezine.<\/em><\/strong><\/p>\n<p>In their paper, the authors provide detailed literature review on spectral unmixing in hyperspectral data.  They also provide practical insights, analysis of evaluation techniques and thoughtful discussion on future research areas. <\/p>\n<p>Check out the paper <a href=\"https:\/\/faculty.eng.ufl.edu\/machine-learning\/2020\/01\/spectral-variability-in-hyperspectral-data-unmixing-a-comprehensive-review\/\">here<\/a>!\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Congratulations to our labmates and collaborators: Ricardo Augusto Borsoi, Tales Imbiriba, Jose Carlos Moreira Bermudez, Cedric Richard, Jocelyn Chanussot, Lucas Drumets, Jean-Yves Tourneret, Alina Zare and Christian Jutten!\u00a0 Their publication, &#8220;Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review&#8221; was recently accepted to the IEEE Geoscience and Remote Sensing Magezine. In their paper, the authors [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-templates\/single-sidebar-none.php","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[9],"tags":[115,273,275,365,519,697,781],"class_list":["post-8366","post","type-post","status-publish","format-standard","hentry","category-news","tag-band-selection","tag-endmember","tag-endmember-variability","tag-hyperspectral","tag-nonlinear-mixing","tag-spectral-variability","tag-unmixing"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/8366","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/comments?post=8366"}],"version-history":[{"count":1,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/8366\/revisions"}],"predecessor-version":[{"id":15161,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/8366\/revisions\/15161"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/media?parent=8366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/categories?post=8366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/tags?post=8366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}