{"id":188,"date":"2017-10-17T21:08:41","date_gmt":"2017-10-17T14:08:41","guid":{"rendered":"http:\/\/research.binus.ac.id\/airnd\/?p=188"},"modified":"2017-10-17T21:08:41","modified_gmt":"2017-10-17T14:08:41","slug":"classification-of-imbalanced-land-useland-cover-data-using-variational-semi-supervised-learning","status":"publish","type":"post","link":"https:\/\/research.binus.ac.id\/airdc\/2017\/10\/classification-of-imbalanced-land-useland-cover-data-using-variational-semi-supervised-learning\/","title":{"rendered":"Classification of Imbalanced Land-Use\/Land-Cover Data Using Variational Semi-Supervised Learning"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-386\" src=\"https:\/\/research.binus.ac.id\/airnd\/wp-content\/uploads\/sites\/12\/2017\/10\/icitech-bg8-cropped-640x181.png\" alt=\"\" width=\"640\" height=\"181\" srcset=\"https:\/\/research.binus.ac.id\/airdc\/wp-content\/uploads\/sites\/18\/2017\/10\/icitech-bg8-cropped-640x181.png 640w, https:\/\/research.binus.ac.id\/airdc\/wp-content\/uploads\/sites\/18\/2017\/10\/icitech-bg8-cropped-768x217.png 768w, https:\/\/research.binus.ac.id\/airdc\/wp-content\/uploads\/sites\/18\/2017\/10\/icitech-bg8-cropped.png 1200w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/p>\n<p>Tjeng Wawan Cenggoro, Sani M. Isa, Gede Putra Kusuma, Bens Pardamean<\/p>\n<p>International Conference on Innovative and Creative Information Technology 2017<\/p>\n<p style=\"text-align: justify\"><strong>Abstract: <\/strong>Classification of Land Use\/Land Cover (LULC) data is a typical task in remote-sensing domain. However, because the classes distribution in LULC data is naturally imbalance, it is difficult to do the classification. In this paper, we employ Variational Semi-Supervised Learning (VSSL) to solve imbalance problem in LULC of Jakarta City. This VSSL exploits the use of semi-supervised learning on deep learning model. Therefore, it is suitable for classifying data with abundant unlabeled like LULC. The result shows that VSSL achieves 80.17% of overall accuracy, outperforming other algorithms in comparison.<\/p>\n<p><a href=\"https:\/\/www.researchgate.net\/publication\/321255690_Classification_of_Imbalanced_Land-UseLand-Cover_Data_Using_Variational_Semi-Supervised_Learning?_iepl%5BviewId%5D=p3Z4GQncfWT2FU2UTr6CpvH9&amp;_iepl%5BprofilePublicationItemVariant%5D=default&amp;_iepl%5Bcontexts%5D%5B0%5D=prfpi&amp;_iepl%5BtargetEntityId%5D=PB%3A321255690&amp;_iepl%5BinteractionType%5D=publicationTitle\">ResearchGate Link<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tjeng Wawan Cenggoro, Sani M. Isa, Gede Putra Kusuma, Bens Pardamean International Conference on Innovative and Creative Information Technology 2017 Abstract: Classification of Land Use\/Land Cover (LULC) data is a typical task in remote-sensing domain. However, because the classes distribution in LULC data is naturally imbalance, it is difficult to do the classification. In this [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":378,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16,6],"tags":[],"class_list":["post-188","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publications","category-research"],"_links":{"self":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts\/188","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/comments?post=188"}],"version-history":[{"count":0,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts\/188\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/media\/378"}],"wp:attachment":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/media?parent=188"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/categories?post=188"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/tags?post=188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}