{"id":4528,"date":"2020-11-02T14:30:07","date_gmt":"2020-11-02T13:30:07","guid":{"rendered":"https:\/\/rslab.disi.unitn.it\/?p=4528"},"modified":"2020-11-02T14:31:37","modified_gmt":"2020-11-02T13:31:37","slug":"rslab-at-the-top-in-the-2020-gaofen-challeng","status":"publish","type":"post","link":"https:\/\/rslab.disi.unitn.it\/web\/rslab-at-the-top-in-the-2020-gaofen-challeng\/","title":{"rendered":"RSLab at the Top in the 2020 Gaofen Challenge"},"content":{"rendered":"
A team led by Ding Lei (PhD student at RSLab)\u00a0 won the 2nd place in the ‘2020 Gaofen Challenge on Automated High-Resolution Earth Observation Image Interpretation<\/a>‘ in the subject ‘Automatic Classification of PolSAR Images’.<\/div>\n

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This competition was held by the China High-Resolution Earth Observation Conference Committee. The contest data have acquired based on the platform of Gaofen (High-Resolution) Earth Observation Project of China. The contest was technically co-sponsored by the Gaofen Project Office, the Aerospace Information Research Institute, Chinese Academy of Sciences, the IEEE Geoscience & Remote Sensing Society (GRSS) and the International Society for Photogrammetry and Remote Sensing (ISPRS).<\/div>\n
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A total of 701 teams from 253 affiliations with 2023 competitors worldwide have joined the competition. The solution that won the second place is based on a novel CNN based method (MP-ResNet: Multi-path Residual Network for the Semantic Segmentation of PolSAR image).<\/div>\n

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A team led by Ding Lei (PhD student at RSLab)\u00a0 won the 2nd place in the ‘2020 Gaofen Challenge on Automated High-Resolution Earth Observation Image Interpretation‘ in the subject ‘Automatic Classification of PolSAR Images’.<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[1],"tags":[],"class_list":["post-4528","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/4528","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/comments?post=4528"}],"version-history":[{"count":3,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/4528\/revisions"}],"predecessor-version":[{"id":4533,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/4528\/revisions\/4533"}],"wp:attachment":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/media?parent=4528"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/categories?post=4528"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/tags?post=4528"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}