{"id":460,"date":"2017-08-26T10:39:10","date_gmt":"2017-08-26T02:39:10","guid":{"rendered":"https:\/\/xg1990.com\/blog\/?page_id=460"},"modified":"2017-08-26T10:41:39","modified_gmt":"2017-08-26T02:41:39","slug":"%e6%88%91%e7%9a%84%e7%a0%94%e7%a9%b6","status":"publish","type":"page","link":"https:\/\/xg1990.com\/blog\/%e6%88%91%e7%9a%84%e7%a0%94%e7%a9%b6","title":{"rendered":"\u6211\u7684\u7814\u7a76"},"content":{"rendered":"<h2 style=\"text-align: left;\">\u4f7f\u7528Himawari-8\u536b\u661f\u8fdb\u884c\u5b9e\u65f6\u706b\u707e\u76d1\u6d4b<\/h2>\n<p style=\"text-align: center;\"><a href=\"https:\/\/xg1990.com\/blog\/%e6%88%91%e7%9a%84%e7%a0%94%e7%a9%b6\/screen-shot-2017-08-26-at-12-32-00\" rel=\"attachment wp-att-462\"><img loading=\"lazy\" class=\"alignnone wp-image-462\" src=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/Screen-Shot-2017-08-26-at-12.32.00-300x241.png\" alt=\"\" width=\"373\" height=\"300\" srcset=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/Screen-Shot-2017-08-26-at-12.32.00-300x241.png 300w, https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/Screen-Shot-2017-08-26-at-12.32.00.png 588w\" sizes=\"(max-width: 373px) 100vw, 373px\" \/><\/a><\/p>\n<p style=\"text-align: left;\">\u6587\u7ae0\u53d1\u8868\u4e8e\uff1aRemote Sensing Letters, Volume 8, 2017 &#8211; Issue 11<\/p>\n<p style=\"text-align: left;\">\u539f\u6587\u5730\u5740\uff1a<a class=\"gsc_title_link\" href=\"http:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/2150704X.2017.1350303\" data-clk=\"hl=zh-CN&amp;sa=T&amp;ei=ON2gWeP4I4aFmAHKtauwCA\">Real-time wildfire detection and tracking in Australia using geostationary satellite: Himawari-8<\/a><\/p>\n<hr \/>\n<h2 style=\"text-align: left;\">\u4f7f\u7528\u8fc1\u79fb\u5b66\u4e60\u8bc6\u522b\u666e\u901a\u7167\u7247\u7684\u571f\u5730\u8986\u76d6\u7c7b\u578b<\/h2>\n<p style=\"text-align: center;\"><a href=\"https:\/\/xg1990.com\/blog\/%e6%88%91%e7%9a%84%e7%a0%94%e7%a9%b6\/screen-shot-2017-08-26-at-12-35-23\" rel=\"attachment wp-att-463\"><img loading=\"lazy\" class=\"alignnone wp-image-463\" src=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/Screen-Shot-2017-08-26-at-12.35.23-1024x480.png\" alt=\"\" width=\"596\" height=\"279\" srcset=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/Screen-Shot-2017-08-26-at-12.35.23-1024x480.png 1024w, https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/Screen-Shot-2017-08-26-at-12.35.23-300x141.png 300w, https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/Screen-Shot-2017-08-26-at-12.35.23-768x360.png 768w, https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/Screen-Shot-2017-08-26-at-12.35.23.png 1213w\" sizes=\"(max-width: 596px) 100vw, 596px\" \/><\/a><\/p>\n<p style=\"text-align: left;\">\u6587\u7ae0\u53d1\u8868\u4e8e\uff1aEnvironmental Modelling &amp; Software,\u00a0Volume 91, May 2017, Pages 127\u2013134<\/p>\n<p style=\"text-align: left;\">\u539f\u6587\u5730\u5740\uff1a<a class=\"gsc_title_link\" href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1364815216303152\" data-clk=\"hl=zh-CN&amp;sa=T&amp;ei=LN6gWbnPJtTLmAHNz7mgCg\">Automatic land cover classification of geo-tagged field photos by deep learning<\/a><\/p>\n<hr \/>\n<h2 style=\"text-align: left;\">\u4f7f\u7528\u8d1d\u53f6\u65af\u7406\u8bba\u8fdb\u884c\u571f\u5730\u8986\u76d6\u5730\u56fe\u878d\u5408<\/h2>\n<p style=\"text-align: center;\"><a href=\"https:\/\/xg1990.com\/blog\/%e6%88%91%e7%9a%84%e7%a0%94%e7%a9%b6\/remotesensing-06-05589f4\" rel=\"attachment wp-att-464\"><img loading=\"lazy\" class=\"alignnone size-large wp-image-464\" src=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/remotesensing-06-05589f4-1024x367.png\" alt=\"\" width=\"660\" height=\"237\" srcset=\"https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/remotesensing-06-05589f4-1024x367.png 1024w, https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/remotesensing-06-05589f4-300x107.png 300w, https:\/\/xg1990.com\/blog\/wp-content\/uploads\/2017\/08\/remotesensing-06-05589f4-768x275.png 768w\" sizes=\"(max-width: 660px) 100vw, 660px\" \/><\/a><\/p>\n<p style=\"text-align: left;\">\u53d1\u8868\u4e8e\uff1aRemote Sensing 2014, 6(6), 5589-5613<\/p>\n<p style=\"text-align: left;\">\u539f\u6587\u5730\u5740\uff1a<a class=\"gsc_title_link\" href=\"http:\/\/www.mdpi.com\/2072-4292\/6\/6\/5589\/htm\" data-clk=\"hl=zh-CN&amp;sa=T&amp;ei=0t6gWcrQOdTLmAHNz7mgCg\">A Bayesian based method to generate a synergetic land-cover map from existing land-cover products<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f7f\u7528Himawari-8\u536b\u661f\u8fdb\u884c\u5b9e\u65f6\u706b\u707e\u76d1\u6d4b \u6587\u7ae0\u53d1\u8868\u4e8e\uff1aRemote Sensing Letters, Vo&hellip;&nbsp;<a href=\"https:\/\/xg1990.com\/blog\/%e6%88%91%e7%9a%84%e7%a0%94%e7%a9%b6\" class=\"\" rel=\"bookmark\">\u9605\u8bfb\u66f4\u591a &raquo;<span class=\"screen-reader-text\">\u6211\u7684\u7814\u7a76<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":""},"translation":{"provider":"WPGlobus","version":"3.0.1","language":"zh","enabled_languages":["zh","en"],"languages":{"zh":{"title":true,"content":true,"excerpt":false},"en":{"title":false,"content":false,"excerpt":false}}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.4.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u6211\u7684\u7814\u7a76 - xg1990<\/title>\n<meta name=\"robots\" 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